Triple
T13447018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V. C. Bird International Airport |
E320509
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
TAPA
TAPA is the ICAO airport code for V. C. Bird International Airport, the main international gateway to Antigua and Barbuda.
|
E1041070
|
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: TAPA | Statement: [V. C. Bird International Airport, ICAOcode, TAPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAPA Context triple: [V. C. Bird International Airport, ICAOcode, TAPA]
-
A.
TAP
TAP is a scholarly journal published by the Association for Computing Machinery that focuses on research in applied perception and related areas of computer science.
-
B.
TAP
TAP is the ICAO airline designator for TAP Air Portugal, the flag carrier airline of Portugal.
-
C.
TAP
TAP is a reusable smart fare card system used for paying transit fares across multiple public transportation agencies in the Los Angeles County area.
-
D.
Tapa
Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
-
E.
Tapa
Tapa is an ethnic group in central Nigeria, more commonly known as the Nupe people, recognized for their rich cultural traditions, crafts, and historical kingdom along the Niger River.
- 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: TAPA Triple: [V. C. Bird International Airport, ICAOcode, TAPA]
Generated description
TAPA is the ICAO airport code for V. C. Bird International Airport, the main international gateway to Antigua and Barbuda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAPA Target entity description: TAPA is the ICAO airport code for V. C. Bird International Airport, the main international gateway to Antigua and Barbuda.
-
A.
TAP
TAP is the ICAO airline designator for TAP Air Portugal, the flag carrier airline of Portugal.
-
B.
TAP
TAP is a scholarly journal published by the Association for Computing Machinery that focuses on research in applied perception and related areas of computer science.
-
C.
TAP
TAP is a reusable smart fare card system used for paying transit fares across multiple public transportation agencies in the Los Angeles County area.
-
D.
Tapa
Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
-
E.
Tapa
Tapa is an ethnic group in central Nigeria, more commonly known as the Nupe people, recognized for their rich cultural traditions, crafts, and historical kingdom along the Niger River.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73998221c8190a2d8982a3da28ec9 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73a598c6c81908420b00b665e3b08 |
completed | May 3, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73e0e598c8190b030a45e658a5055 |
completed | May 3, 2026, 12:22 p.m. |
Created at: April 9, 2026, 9:41 p.m.