Triple
T13048460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condroz |
E327385
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Hotton |
E317776
|
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: Hotton | Statement: [Condroz, containsSettlement, Hotton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hotton Context triple: [Condroz, containsSettlement, Hotton]
-
A.
Hotton
chosen
Hotton is a small Belgian town in the Ardennes region, known for its scenic riverside setting, caves, and outdoor recreation along the Ourthe River.
-
B.
Thankerton
Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
-
C.
Lansburgh
Lansburgh is a surname most notably associated with G. Albert Lansburgh, an American architect known for his theater and commercial building designs in the early 20th century.
-
D.
Roberttown
Roberttown is a village in West Yorkshire, England, forming part of the town of Liversedge within the metropolitan borough of Kirklees.
-
E.
Beaufoy
Beaufoy is an English surname most notably borne by Oscar-winning screenwriter Simon Beaufoy.
- 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_69f6cbd8f1308190992c0bd832e1b05e |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:57 p.m.