Triple
T20180345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jobat State |
E492709
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Jobat |
—
|
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: Jobat | Statement: [Jobat State, capital, Jobat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jobat Context triple: [Jobat State, capital, Jobat]
-
A.
Jobat
chosen
Jobat is a legislative assembly constituency in the Alirajpur district of Madhya Pradesh, India, represented in the state's Vidhan Sabha.
-
B.
Zola Predosa
Zola Predosa is a municipality in the Emilia-Romagna region of northern Italy, situated near the city of Bologna and known for its residential areas and local food and wine production.
-
C.
Dugal
Dugal is a masculine given name of Scottish origin, closely related to and often considered a variant of the name Dugald.
-
D.
Pakize
Pakize is a fictional character in Ahmet Hamdi Tanpınar’s novel "Saatleri Ayarlama Enstitüsü," known as one of the women connected to the protagonist Hayri İrdal.
-
E.
Trevour
Trevour is a less common variant spelling of the given name Trevor, typically used as a masculine first name.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668edf27881909820f9103e72533e |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.