Triple
T16140990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Survilliers |
E391651
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Survilliers |
E391651
|
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: Survilliers | Statement: [Count of Survilliers, namedAfter, Survilliers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Survilliers Context triple: [Count of Survilliers, namedAfter, Survilliers]
-
A.
Survilliers
chosen
Survilliers is a commune in the Val-d'Oise department in northern France, known historically for lending its name to the noble title "Count of Survilliers."
-
B.
Sorvilier
Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
-
C.
Gagnière
Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
-
D.
Seigneux
Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Bois-Guillaume
Bois-Guillaume is a suburban commune located near Rouen in northern France, known for its residential character and proximity to the city.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a087c848190aba9ed2ccb422427 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b75988819094baaff8f53f48ce |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.