Triple
T5022128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Gauguin |
E112876
|
entity |
| Predicate | diedIn |
P21
|
FINISHED |
| Object | Atuona |
E354258
|
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: Atuona | Statement: [Paul Gauguin, diedIn, Atuona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atuona Context triple: [Paul Gauguin, diedIn, Atuona]
-
A.
Atuona
chosen
Atuona is a small coastal village on the island of Hiva Oa in the Marquesas Islands of French Polynesia, known as the final home and burial place of artist Paul Gauguin.
-
B.
Tahuata
Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
-
C.
Eulau
Eulau is a German-language surname associated with individuals such as political scientist Heinz Eulau.
-
D.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
-
E.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73656edc8190b802ad38d9552b58 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba5b5f84819086b7af26923f0987 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:36 p.m.