Triple
T11406875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steenkerque |
E270260
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Enghien |
E838626
|
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: Enghien | Statement: [Steenkerque, locatedNear, Enghien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enghien Context triple: [Steenkerque, locatedNear, Enghien]
-
A.
Enghien
chosen
Enghien is a historic French territorial title and locality traditionally associated with the ducal house of Condé.
-
B.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
C.
De Marne
De Marne was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and coastal location along the Wadden Sea.
-
D.
Pontgouin
Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
-
E.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d56608481908dbb19daa2abfc0a |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:34 p.m.