Triple
T8758944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moorea |
E208143
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Moorea Airport
Moorea Airport is a small regional airport in French Polynesia that serves the island of Moorea with domestic flights, primarily to and from Tahiti.
|
E755581
|
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: Moorea Airport | Statement: [Moorea, hasAirport, Moorea Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moorea Airport Context triple: [Moorea, hasAirport, Moorea Airport]
-
A.
Nouméa Magenta Airport
Nouméa Magenta Airport is a regional airport in Nouméa, New Caledonia, primarily serving domestic flights within the French Pacific territory.
-
B.
Talagi Airport
Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
-
C.
Saint-Pierre Airport
Saint-Pierre Airport is the main air gateway serving the French overseas collectivity of Saint-Pierre and Miquelon in the North Atlantic.
-
D.
Hiva Oa Airport
Hiva Oa Airport is a small regional airport in the Marquesas Islands of French Polynesia that serves the island of Hiva Oa and its main village, Atuona.
-
E.
Savusavu Airport
Savusavu Airport is a small domestic airport serving the town of Savusavu on the Fijian island of Vanua Levu.
- 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: Moorea Airport Triple: [Moorea, hasAirport, Moorea Airport]
Generated description
Moorea Airport is a small regional airport in French Polynesia that serves the island of Moorea with domestic flights, primarily to and from Tahiti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moorea Airport Target entity description: Moorea Airport is a small regional airport in French Polynesia that serves the island of Moorea with domestic flights, primarily to and from Tahiti.
-
A.
Nouméa Magenta Airport
Nouméa Magenta Airport is a regional airport in Nouméa, New Caledonia, primarily serving domestic flights within the French Pacific territory.
-
B.
Talagi Airport
Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
-
C.
Saint-Pierre Airport
Saint-Pierre Airport is the main air gateway serving the French overseas collectivity of Saint-Pierre and Miquelon in the North Atlantic.
-
D.
Hiva Oa Airport
Hiva Oa Airport is a small regional airport in the Marquesas Islands of French Polynesia that serves the island of Hiva Oa and its main village, Atuona.
-
E.
Savusavu Airport
Savusavu Airport is a small domestic airport serving the town of Savusavu on the Fijian island of Vanua Levu.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5df81c58819089af99306e103dbb |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf434232d08190bfee6f5ec1c0b5a6 |
completed | April 3, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_69cf4569352c819089745287789d0b70 |
completed | April 3, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf45d053248190b7f7a5e2646d31b4 |
completed | April 3, 2026, 4:45 a.m. |
Created at: March 30, 2026, 6:40 p.m.