Triple
T22376299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balasore district |
E553158
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nilgiri block |
—
|
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: Nilgiri block | Statement: [Balasore district, contains, Nilgiri block]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nilgiri block Context triple: [Balasore district, contains, Nilgiri block]
-
A.
Nilgiri subdivision
chosen
Nilgiri subdivision is an administrative subdivision in the Balasore district of the Indian state of Odisha.
-
B.
Nilgiris district
Nilgiris district is a mountainous region in the Indian state of Tamil Nadu, renowned for its tea plantations, cool climate, and rich biodiversity in the Western Ghats.
-
C.
Malabar District
Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
-
D.
Ranipet district
Ranipet district is an administrative district in the Indian state of Tamil Nadu, known for its industrial hubs, especially leather and chemical manufacturing.
-
E.
Guna district
Guna district is an administrative district in the central Indian state of Madhya Pradesh, with its headquarters in the town of Guna.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158285d208190bc7d05d315267995 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.