Triple
T16288885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thérouanne |
E395464
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Saint-Omer |
E185415
|
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: Saint-Omer | Statement: [Thérouanne, nearbyCity, Saint-Omer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Omer Context triple: [Thérouanne, nearbyCity, Saint-Omer]
-
A.
Saint-Omer
chosen
Saint-Omer is a historic town in northern France known for its medieval architecture, strategic military importance, and role in Franco-Spanish conflicts.
-
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.
Valenciennes
Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
-
D.
Cambrai
Cambrai is a historic city in northern France known for its medieval heritage, role in World War I, and traditional confectionery.
-
E.
Leulinghem
Leulinghem is a village in northern France historically notable as the site where a major truce was concluded during the Hundred Years' War.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249165af881908ce44c4517c93c12 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003550fc0c8190ba78666da8b3cd81 |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:05 a.m.