Triple
T7470836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Comore |
E176498
|
entity |
| Predicate | airportLocatedNear |
P30013
|
FINISHED |
| Object | Hahaya |
E667468
|
NE FINISHED |
How this triple was built (2 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: Hahaya | Statement: [Grande Comore, airportLocatedNear, Hahaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hahaya Context triple: [Grande Comore, airportLocatedNear, Hahaya]
-
A.
Hahaya
chosen
Hahaya is a village on Grande Comore in the Comoros best known for hosting the country’s main international airport.
-
B.
Hassa
Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
-
C.
Hawiyah
Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
-
D.
Hasbaya
Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
-
E.
Hatta
Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4145d608190bd93239f04f7da41 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c625a388190bfe9237568ab2005 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:41 p.m.