Triple
T5791196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Vermandois |
E128396
|
entity |
| Predicate | associatedWithCity |
P1481
|
FINISHED |
| Object | Péronne |
E391538
|
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: Péronne | Statement: [Count of Vermandois, associatedWithCity, Péronne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Péronne Context triple: [Count of Vermandois, associatedWithCity, Péronne]
-
A.
Péronne
chosen
Péronne is a historic town in northern France known for its role in World War I and its location in the Somme department.
-
B.
Arras
Arras is a historic city in northern France renowned for its Flemish-Baroque architecture, grand squares, and role as a strategic site in both World Wars.
-
C.
Saint-Quentin
Saint-Quentin is a historic town in northern France known for its Gothic basilica, Art Deco architecture, and role as a regional administrative and commercial center.
-
D.
Doullens
Doullens is a historic commune in northern France known for its medieval citadel and role as a strategic military and administrative center in the Somme department.
-
E.
Château-Thierry
Château-Thierry is a historic town in northern France known for its World War I battlefields and its association with the poet Jean de La Fontaine.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a56c73c81908a1c72c86e474b54 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfa9d9348190b8916accca9374f2 |
completed | March 23, 2026, 4:20 a.m. |
Created at: March 22, 2026, 3:51 p.m.