Triple
T14480458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Église Saint-Pierre de Tonnerre |
E359088
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tonnerre |
E72887
|
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: Tonnerre | Statement: [Église Saint-Pierre de Tonnerre, locatedIn, Tonnerre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonnerre Context triple: [Église Saint-Pierre de Tonnerre, locatedIn, Tonnerre]
-
A.
Tonnerre
Tonnerre was a French warship involved in the early 19th-century naval conflict known as the Battle of the Basque Roads.
-
B.
Tonnerre
chosen
Tonnerre is a historic commune in the Yonne department of Bourgogne-Franche-Comté in north-central France, known for its medieval heritage and notable residents.
-
C.
Trembleur
Trembleur is a village in the municipality of Blegny in the province of Liège, Belgium.
-
D.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
E.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8ccd608190afd23c903cd5686a |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.