Triple
T11534687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trois-Ponts |
E273515
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lierneux |
E262733
|
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: Lierneux | Statement: [Trois-Ponts, locatedNear, Lierneux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lierneux Context triple: [Trois-Ponts, locatedNear, Lierneux]
-
A.
Lierneux
chosen
Lierneux is a rural municipality in the province of Liège in Wallonia, Belgium, known for its forests, valleys, and quiet countryside.
-
B.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
C.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
D.
Darré
Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
-
E.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839b4bb48190b748ec4119f36c11 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6858af0d081909078d5862ec3d469 |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.