Triple
T3114818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Park Airport |
E65037
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
CGS
CGS is the IATA airport code for College Park Airport, a historic general aviation airfield in College Park, Maryland, USA.
|
E327845
|
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: CGS | Statement: [College Park Airport, hasIATAcode, CGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGS Context triple: [College Park Airport, hasIATAcode, CGS]
-
A.
GCSI
GCSI is the post-nominal abbreviation for Knight Grand Commander of the Most Exalted Order of the Star of India, a high-ranking chivalric order of the former British Empire in India.
-
B.
GCSB
GCSB is New Zealand’s signals intelligence and information security agency responsible for foreign intelligence gathering and cybersecurity.
-
C.
GCTS
GCTS is the ICAO airport code for Tenerife South Airport, a major international airport on the island of Tenerife in Spain’s Canary Islands.
-
D.
CGN
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
-
E.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
- 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: CGS Triple: [College Park Airport, hasIATAcode, CGS]
Generated description
CGS is the IATA airport code for College Park Airport, a historic general aviation airfield in College Park, Maryland, USA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CGS Target entity description: CGS is the IATA airport code for College Park Airport, a historic general aviation airfield in College Park, Maryland, USA.
-
A.
GCSI
GCSI is the post-nominal abbreviation for Knight Grand Commander of the Most Exalted Order of the Star of India, a high-ranking chivalric order of the former British Empire in India.
-
B.
GCSB
GCSB is New Zealand’s signals intelligence and information security agency responsible for foreign intelligence gathering and cybersecurity.
-
C.
GCTS
GCTS is the ICAO airport code for Tenerife South Airport, a major international airport on the island of Tenerife in Spain’s Canary Islands.
-
D.
CGN
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
-
E.
DGS
DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43dca688190ab041554220c5271 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.