Triple
T21107041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natore District |
E520073
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Natore |
—
|
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: Natore | Statement: [Natore District, hasCapital, Natore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natore Context triple: [Natore District, hasCapital, Natore]
-
A.
Natore
chosen
Natore is a town and district headquarters in northern Bangladesh known for its historical estates and cultural heritage.
-
B.
Torsa
Torsa is a small, sparsely inhabited Scottish island in the Inner Hebrides known for its rugged landscapes and historical ruins.
-
C.
Chakulia
Chakulia is a town in Jharkhand, India, known as an emerging urban and industrial hub within the greater Jamshedpur industrial region.
-
D.
Rangapara
Rangapara is a town in the Sonitpur district of Assam, India, known as a local educational and transportation hub in the region.
-
E.
Purba
Purba is the family name of Deep Roy, a Kenyan-born British actor and stuntman known for his roles in films such as "Charlie and the Chocolate Factory" and "Star Trek."
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720fe800c81909edf215c5f1f27c2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:53 p.m.