Triple
T36940655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großwardein |
E913752
|
entity |
| Predicate | modernCountryCapitalOfCounty |
P117280
|
FINISHED |
| Object | Bihor County |
—
|
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: Bihor County | Statement: [Großwardein, modernCountryCapitalOfCounty, Bihor County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernCountryCapitalOfCounty Context triple: [Großwardein, modernCountryCapitalOfCounty, Bihor County]
-
A.
hasCountyCapitalRole
chosen
Indicates that an entity serves as the administrative capital of a specified county.
-
B.
isCountyOfCapital
Indicates that a given county is the administrative region in which a specified capital city is located.
-
C.
isCountyOfStateCapital
Indicates that a county is the one in which a given state capital city is located.
-
D.
cityCounty
Indicates that a city is located within, and administratively belongs to, a specific county.
-
E.
countyName
Indicates the specific name assigned to a county in which an entity is located or with which it is associated.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 3, 2026, 4:13 p.m.