Triple
T12918273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Auvergne |
E309045
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Montferrand
Montferrand is a historic French town, now part of Clermont-Ferrand, known for its medieval heritage and former status as a separate commune in the Auvergne region.
|
E1055922
|
NE FINISHED |
How this triple was built (4 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: Montferrand | Statement: [Duchy of Auvergne, hasCity, Montferrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montferrand Context triple: [Duchy of Auvergne, hasCity, Montferrand]
-
A.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
B.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
C.
Migennes
Migennes is a commune in north-central France known as a railway junction and river port in the Yonne department of the Bourgogne-Franche-Comté region.
-
D.
Fremault
Fremault is the surname of American film and television actress Anita Louise.
-
E.
Berthier
Berthier is a French surname most famously associated with Louis-Alexandre Berthier, a marshal of France and chief of staff to Napoleon.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Montferrand Triple: [Duchy of Auvergne, hasCity, Montferrand]
Generated description
Montferrand is a historic French town, now part of Clermont-Ferrand, known for its medieval heritage and former status as a separate commune in the Auvergne region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montferrand Target entity description: Montferrand is a historic French town, now part of Clermont-Ferrand, known for its medieval heritage and former status as a separate commune in the Auvergne region.
-
A.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
B.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
C.
Migennes
Migennes is a commune in north-central France known as a railway junction and river port in the Yonne department of the Bourgogne-Franche-Comté region.
-
D.
Fremault
Fremault is the surname of American film and television actress Anita Louise.
-
E.
Berthier
Berthier is a French surname most famously associated with Louis-Alexandre Berthier, a marshal of France and chief of staff to Napoleon.
- F. None of above. chosen
Provenance (5 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941b62bc819082ddb1f48497ff3a |
completed | May 3, 2026, 6:29 p.m. |
| NEDg | Description generation | batch_69f798aab9c48190acaa78864e89411f |
completed | May 3, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79943e4f4819098fa82cb6a32e08a |
completed | May 3, 2026, 6:51 p.m. |
Created at: April 9, 2026, 5:41 p.m.