Triple
T16204255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de la Roya |
E393282
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | La Brigue |
E686338
|
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: La Brigue | Statement: [Vallée de la Roya, hasVillage, La Brigue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Brigue Context triple: [Vallée de la Roya, hasVillage, La Brigue]
-
A.
La Brigue
chosen
La Brigue is a small historic village in the Ligurian Alps of southeastern France, known for its medieval architecture and scenic mountain surroundings.
-
B.
Embarcadère de l’Ouest
Embarcadère de l’Ouest was the original 19th-century name of what is now Paris-Saint-Lazare, one of Paris’s main railway terminals and a historic hub of the French rail network.
-
C.
L’Espoir
L’Espoir is a 1937 novel by André Malraux that portrays the political and human drama of the Spanish Civil War.
-
D.
Arielle Ship
Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
-
E.
Duguay-Trouin
Duguay-Trouin was a French warship that served in the early 19th century, notably participating in the Napoleonic naval conflicts.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270d6e5c8190aee4bcca76cbe47c |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff14b0988190bb4128b2e02aee32 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:03 a.m.