Triple
T15271891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochefort |
E365038
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Corderie Royale |
E1146125
|
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: Corderie Royale | Statement: [Rochefort, hasLandmark, Corderie Royale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corderie Royale Context triple: [Rochefort, hasLandmark, Corderie Royale]
-
A.
Corderie Royale
chosen
Corderie Royale is a historic 17th-century royal rope-making factory in Rochefort, France, now serving as a major maritime heritage site and cultural center.
-
B.
Manufacture des Gobelins
Manufacture des Gobelins is a historic Parisian royal tapestry and furniture manufactory renowned for producing luxurious decorative works for the French crown and state.
-
C.
Boucicaut
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
-
D.
Fond Parisien
Fond Parisien is a small town in southeastern Haiti near the Dominican border, known for its proximity to Lake Azuei and its role as a local agricultural and trading center.
-
E.
Versailles-Chantiers
Versailles-Chantiers is a major railway station in Versailles, France, serving as an important suburban and regional transport hub in the Paris metropolitan area.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7186d481909067f8088f3ea497 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.