Triple
T15339254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen metropolitan area |
E366746
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Darnétal |
E1054770
|
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: Darnétal | Statement: [Rouen metropolitan area, hasPart, Darnétal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnétal Context triple: [Rouen metropolitan area, hasPart, Darnétal]
-
A.
Darnétal
chosen
Darnétal is a commune in the Normandy region of northern France, situated just east of the city of Rouen.
-
B.
Wattrelos
Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
-
C.
Tétange
Tétange is a town in southwestern Luxembourg that forms part of the commune of Kayl in the canton of Esch-sur-Alzette.
-
D.
Debourg
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
-
E.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2efb148190a2e6c0811f2afb5f |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 3:17 a.m.