Triple
T20545537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nouméa Magenta Airport |
E504459
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
GEA
GEA is the IATA airport code for Nouméa Magenta Airport, a domestic airport serving Nouméa in New Caledonia.
|
E1437346
|
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: GEA | Statement: [Nouméa Magenta Airport, IATAcode, GEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEA Context triple: [Nouméa Magenta Airport, IATAcode, GEA]
-
A.
GEA
GEA is the National Rail station code for Gretna Green railway station in Scotland.
-
B.
GEI
GEI is the former ISO 3166 country code that was assigned to the British colony of the Gilbert and Ellice Islands in the Pacific Ocean.
-
C.
GE
GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
-
D.
GE
GE is the abbreviation for ICANN’s Government Engagement function, which manages and coordinates ICANN’s relationships and interactions with governments and intergovernmental organizations worldwide.
-
E.
GE
GE is the commonly used abbreviation for Global Entry, a U.S. government program that provides expedited clearance for pre-approved, low-risk international travelers entering the United States.
- 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: GEA Triple: [Nouméa Magenta Airport, IATAcode, GEA]
Generated description
GEA is the IATA airport code for Nouméa Magenta Airport, a domestic airport serving Nouméa in New Caledonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GEA Target entity description: GEA is the IATA airport code for Nouméa Magenta Airport, a domestic airport serving Nouméa in New Caledonia.
-
A.
GEA
GEA is the National Rail station code for Gretna Green railway station in Scotland.
-
B.
GEI
GEI is the former ISO 3166 country code that was assigned to the British colony of the Gilbert and Ellice Islands in the Pacific Ocean.
-
C.
GE
GE is the abbreviation for ICANN’s Government Engagement function, which manages and coordinates ICANN’s relationships and interactions with governments and intergovernmental organizations worldwide.
-
D.
GE
GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
-
E.
GE
GE is the commonly used abbreviation for Global Entry, a U.S. government program that provides expedited clearance for pre-approved, low-risk international travelers entering the United States.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29684648190969d8fc23743e288 |
completed | April 20, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a56d914c819093105dfbeef686f7 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a66836d88190a63b42663455e491 |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a6e4bd1c8190969cf969812a2e56 |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:38 a.m.