Triple
T9163828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epte River |
E219896
|
entity |
| Predicate | locatedInDepartment |
P40
|
FINISHED |
| Object | Val-d'Oise |
E45085
|
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: Val-d'Oise | Statement: [Epte River, locatedInDepartment, Val-d'Oise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val-d'Oise Context triple: [Epte River, locatedInDepartment, Val-d'Oise]
-
A.
Val-d'Oise
chosen
Val-d'Oise is a department in northern France that forms part of the Paris metropolitan region and includes both suburban areas and rural landscapes.
-
B.
Vallée de la Marne
Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
-
C.
Seine-et-Oise
Seine-et-Oise was a former department of France surrounding Paris, abolished in 1968 and divided into several new departments including Yvelines.
-
D.
Oise-Aisne
Oise-Aisne is a region in northern France that was a major World War I battlefield, notably during the Aisne and Oise-Aisne offensives.
-
E.
Thiérache
Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2d6628819084ac4734650fe912 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c04533c81909d92ad5fff9bbadf |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:21 p.m.