Triple
T7171275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valmy |
E167199
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Valmy |
E167199
|
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: Valmy | Statement: [Valmy, hasOfficialName, Valmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valmy Context triple: [Valmy, hasOfficialName, Valmy]
-
A.
Valmy
chosen
Valmy is a village in northeastern France historically renowned as the site of the pivotal 1792 Battle of Valmy during the French Revolutionary Wars.
-
B.
Cambronne
Cambronne is a Paris Métro station located in the 15th arrondissement, named after the French general Pierre Cambronne.
-
C.
Régnié
Régnié is a French red wine appellation and one of the ten Beaujolais crus, known for its fruity, aromatic Gamay-based wines.
-
D.
Haguenau
Haguenau is a historic town in northeastern France’s Alsace region, known for its medieval heritage, cultural traditions, and role as a local economic center.
-
E.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85ec718819085af59fadee9d22d |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b918a838819088bd24d462101902 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.