Triple
T7528466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faaʻa International Airport |
E177954
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
NTAA
NTAA is the ICAO airport code for Faaʻa International Airport, the main international gateway to Tahiti in French Polynesia.
|
E669754
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NTAA | Statement: [Faaʻa International Airport, ICAOcode, NTAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTAA Context triple: [Faaʻa International Airport, ICAOcode, NTAA]
-
A.
NTAA (English context)
NTAA is the English abbreviation for Japan’s Northern Territories Affairs Administration, a government body responsible for issues related to the disputed Northern Territories.
-
B.
NTAS
NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
-
C.
NTA
NTA is the acronym for the National Treatment Agency for Substance Misuse, a former UK body responsible for improving drug treatment services and outcomes.
-
D.
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
E.
NTI
NTI is a specialized automotive and motorsports technical training school associated with NASCAR, offering programs in automotive technology, high-performance engines, and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NTAA Triple: [Faaʻa International Airport, ICAOcode, NTAA]
Generated description
NTAA is the ICAO airport code for Faaʻa International Airport, the main international gateway to Tahiti in French Polynesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NTAA Target entity description: NTAA is the ICAO airport code for Faaʻa International Airport, the main international gateway to Tahiti in French Polynesia.
-
A.
NTAA (English context)
NTAA is the English abbreviation for Japan’s Northern Territories Affairs Administration, a government body responsible for issues related to the disputed Northern Territories.
-
B.
NTAS
NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
-
C.
NTA
NTA is the acronym for the National Treatment Agency for Substance Misuse, a former UK body responsible for improving drug treatment services and outcomes.
-
D.
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
E.
NTI
NTI is a specialized automotive and motorsports technical training school associated with NASCAR, offering programs in automotive technology, high-performance engines, and related fields.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81e19208190965f211d057f7fdf |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84639c19881909e1736afc01a020d |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c846d0b1348190bc2bf23e75c535a9 |
completed | March 28, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84748b8988190b4f85c253ea9e403 |
completed | March 28, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.