Triple
T17798058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barmer district |
E444344
|
entity |
| Predicate | administrativeHeadquarters |
P62
|
FINISHED |
| Object | Barmer |
—
|
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: Barmer | Statement: [Barmer district, administrativeHeadquarters, Barmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barmer Context triple: [Barmer district, administrativeHeadquarters, Barmer]
-
A.
Barmer
chosen
Barmer is a prominent city in the western Indian state of Rajasthan, known for its desert landscape, handicrafts, and proximity to the Thar Desert.
-
B.
Harbach
Harbach is a surname most notably associated with Otto Harbach, an American lyricist and librettist of early 20th-century musical theatre.
-
C.
Werdohl
Werdohl is a town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its metalworking industry and location in the hilly Sauerland region.
-
D.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
-
E.
Gevelsberg
Gevelsberg is a town in North Rhine-Westphalia, Germany, situated in the Ennepe-Ruhr district within the Ruhr metropolitan region.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fcfdc8819086f41152860dfe18 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.