Triple
T15880143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiers River |
E385053
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Longuyon |
E569990
|
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: Longuyon | Statement: [Chiers River, flowsNear, Longuyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longuyon Context triple: [Chiers River, flowsNear, Longuyon]
-
A.
Longuyon
chosen
Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
-
B.
Gagnière
Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
-
C.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
-
D.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
E.
Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15600863c8190a2dbfd6d7ff495d7 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb043b6d48190bf9a36a3e00403c0 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.