Triple
T8098511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solvay Regional Estate |
E189045
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Terhulpen |
E189045
|
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: Terhulpen | Statement: [Solvay Regional Estate, locatedIn, Terhulpen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terhulpen Context triple: [Solvay Regional Estate, locatedIn, Terhulpen]
-
A.
Terhulpen
chosen
Terhulpen is a municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe.
-
B.
Terheijden
Terheijden is a village in the Dutch province of North Brabant, known for its rural character and location near the town of Breda.
-
C.
Terheijl
Terheijl is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
-
D.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
-
E.
Stille Hilfe
Stille Hilfe was a post-World War II German support organization that covertly aided former SS members and Nazi war criminals with legal, financial, and logistical assistance.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4294b73481908c8373b8eca0f608 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9407df3481908353e8468b49e6bc |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:30 p.m.