Triple
T13048496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condroz |
E327385
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Soignies |
E452605
|
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: Soignies | Statement: [Condroz, containsSettlement, Soignies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soignies Context triple: [Condroz, containsSettlement, Soignies]
-
A.
Soignies
chosen
Soignies is a historic town and municipality in the province of Hainaut in Wallonia, Belgium, known for its medieval collegiate church and blue limestone industry.
-
B.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
C.
Saintois
A Saintois is a resident or native of the coastal commune of Saintes-Maries-de-la-Mer in southern France.
-
D.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
E.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
- 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_69f7b8c0b24c819082d0ec947b7d99ea |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 8:57 p.m.