Triple
T7843395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanikoro Island |
E181858
|
entity |
| Predicate | hasShipwreck |
P10943
|
FINISHED |
| Object | Boussole |
E537879
|
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: Boussole | Statement: [Vanikoro Island, hasShipwreck, Boussole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boussole Context triple: [Vanikoro Island, hasShipwreck, Boussole]
-
A.
Boussole
chosen
Boussole was one of the two French naval frigates used by explorer Jean-François de Galaup, comte de La Pérouse, during his ill-fated 18th-century Pacific expedition.
-
B.
Giromagny
Giromagny is a small commune in northeastern France, situated in the Territoire de Belfort department within the Bourgogne-Franche-Comté region.
-
C.
Serrault
Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
-
D.
Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
-
E.
Peillon
Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163c72248190b53bc53980e8ac0f |
completed | March 31, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aded4048190b18604963784352c |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:48 p.m.