Triple
T4670808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franches-Montagnes |
E102956
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Franches-Montagnes horse |
E460803
|
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: Franches-Montagnes horse | Statement: [Franches-Montagnes, namedAfter, Franches-Montagnes horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franches-Montagnes horse Context triple: [Franches-Montagnes, namedAfter, Franches-Montagnes horse]
-
A.
Franches-Montagnes horse
chosen
The Franches-Montagnes horse is a versatile Swiss light draft and riding breed known for its strength, sure-footedness, and calm temperament.
-
B.
Camargue horse
The Camargue horse is an ancient, small, and hardy gray horse breed native to the marshes of southern France, renowned for its sure-footedness and use in traditional cattle herding.
-
C.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
D.
Sire de Grugy
Sire de Grugy is a top-class British National Hunt racehorse best known as a champion two-mile chaser and winner of major Grade 1 races.
-
E.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd634ef5608190925663e988e3585b |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be104a596c8190903c208c892da186 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:15 p.m.