Triple
T13048457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condroz |
E327385
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Anthisnes |
E911531
|
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: Anthisnes | Statement: [Condroz, containsSettlement, Anthisnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthisnes Context triple: [Condroz, containsSettlement, Anthisnes]
-
A.
Anthisnes
chosen
Anthisnes is a municipality in the province of Liège in Wallonia, Belgium.
-
B.
Comines
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
-
C.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
D.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
-
E.
Rocourt
Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead25b7c8190af2ccf26b44c2ea2 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 8:57 p.m.