Triple
T14943504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of Hautefort |
E372590
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hautefort |
E375255
|
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: Hautefort | Statement: [Lord of Hautefort, locatedIn, Hautefort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hautefort Context triple: [Lord of Hautefort, locatedIn, Hautefort]
-
A.
Hautefort
chosen
Hautefort is a historic castle and commune in southwestern France, renowned as the medieval stronghold of the troubadour and nobleman Bertrand de Born.
-
B.
Montfavet
Montfavet is a district of Avignon in southeastern France, known in part for its psychiatric hospital where sculptor Camille Claudel spent her final years and died.
-
C.
Villecroze
Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
-
D.
Fargas
Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
-
E.
Montgallet
Montgallet is a Paris Métro station in the 12th arrondissement, serving a residential and commercial area near Rue de Reuilly.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9484e8819086ca6a59d672e49d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.