Triple
T25769405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temišvar |
E648976
|
entity |
| Predicate | regionOfReferencedPlace |
P66507
|
FINISHED |
| Object | Banat |
—
|
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: Banat | Statement: [Temišvar, regionOfReferencedPlace, Banat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfReferencedPlace Context triple: [Temišvar, regionOfReferencedPlace, Banat]
-
A.
regionOfCityReferenced
Indicates that a specific region or area within a city is being referenced or mentioned in relation to another entity or context.
-
B.
regionReference
chosen
Indicates that one entity refers to, points to, or is associated with a specific region or area defined by another entity.
-
C.
regionOfTheReferredCity
Indicates that one entity is the geographic or administrative region in which the referenced city is located.
-
D.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
E.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
- F. None of above.
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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 22, 2026, 5:13 a.m.