Triple
T22376387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganjam district |
E553160
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Chhatrapur |
—
|
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: Chhatrapur | Statement: [Ganjam district, hasTown, Chhatrapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chhatrapur Context triple: [Ganjam district, hasTown, Chhatrapur]
-
A.
Chhatrapur
chosen
Chhatrapur is a town in the Indian state of Odisha that serves as an administrative and commercial center in the region.
-
B.
Narayanpur
Narayanpur is a town located in the Lakhimpur district of the Indian state of Assam.
-
C.
Brahmpur
Brahmpur is the fictional North Indian city that serves as the central setting of Vikram Seth’s novel "A Suitable Boy."
-
D.
Bhojpur
Bhojpur is a historic site in central India renowned for its unfinished 11th-century Bhojeshwar Temple dedicated to Shiva and its impressive ancient architectural remains.
-
E.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
- 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.