Triple
T22153994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronckhorst |
E547485
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Zelhem |
—
|
NE NERFINISHED |
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: Zelhem | Statement: [Bronckhorst, containsSettlement, Zelhem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zelhem Context triple: [Bronckhorst, containsSettlement, Zelhem]
-
A.
Zelhem
chosen
Zelhem is a village in the Dutch province of Gelderland that formerly existed as an independent municipality before being incorporated into the larger municipality of Bronckhorst.
-
B.
Zeredah
Zeredah is an ancient town in the central highlands of Israel, traditionally identified in the region of Ephraim and noted in the Hebrew Bible as the hometown of Jeroboam I.
-
C.
Zeilarn
Zeilarn is a small municipality in southeastern Bavaria, Germany, known for its rural character within the district of Altötting.
-
D.
Zanghezur
Zanghezur is a mountainous region in the South Caucasus, primarily in southern Armenia, known for its rugged terrain, rich mineral resources, and strategic location between Armenia, Azerbaijan, and Iran.
-
E.
Galmiz
Galmiz is a small municipality in the canton of Fribourg in western Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f6d5b88190badee2e515a3b633 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.