Triple
T15488098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Melville |
E377103
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Rigolet |
E309875
|
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: Rigolet | Statement: [Lake Melville, nearbySettlement, Rigolet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rigolet Context triple: [Lake Melville, nearbySettlement, Rigolet]
-
A.
Rigolet
chosen
Rigolet is a small Inuit coastal community in the autonomous Nunatsiavut region of northern Labrador, Canada.
-
B.
Rigolets
Rigolets is a narrow tidal strait in southeastern Louisiana that connects Lake Pontchartrain to the Gulf of Mexico and serves as an important natural waterway.
-
C.
Vachon
Vachon is a French-origin surname borne by various notable individuals, including artists, athletes, and public figures.
-
D.
Ratonneau
Ratonneau is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rocky landscapes and Mediterranean coves.
-
E.
Troulos
Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365d45488190b48458092b6ffead |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:48 a.m.