Triple
T4764876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raid on Rochefort (1757) |
E105783
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Rochefort |
E365038
|
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: Rochefort | Statement: [Raid on Rochefort (1757), location, Rochefort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochefort Context triple: [Raid on Rochefort (1757), location, Rochefort]
-
A.
Rochefort
chosen
Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
-
B.
Niort
Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
-
C.
Luçon
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
-
D.
Cherbourg
Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
-
E.
Saumur
Saumur is a historic town in western France renowned for its château, wine production, and cavalry school on the banks of the Loire River.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65327af48190881c25763232c368 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a87741081909380c51ba4efed92 |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:21 p.m.