Triple
T21284315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Koel River |
E524612
|
entity |
| Predicate | flowsInDistrict |
P61579
|
FINISHED |
| Object | Gaya district |
—
|
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: Gaya district | Statement: [North Koel River, flowsInDistrict, Gaya district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaya district Context triple: [North Koel River, flowsInDistrict, Gaya district]
-
A.
Gaya district
chosen
Gaya district is an administrative region in the Indian state of Bihar, renowned as a major Buddhist pilgrimage center that includes the sacred site of Bodh Gaya.
-
B.
Buka District
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
-
C.
Rodat District
Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
-
D.
Suruh District
Suruh District is an administrative subdistrict within Semarang Regency in Central Java, Indonesia, comprising several rural villages and local communities.
-
E.
Koriya district
Koriya district is an administrative district in the northern part of Chhattisgarh, India, known for its forested terrain, coal reserves, and rich river systems.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d4e7f881909c2cc7936a66b79d |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.