Triple
T13942939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharmapuri district |
E335301
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Dharmapuri |
E335301
|
NE FINISHED |
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: Dharmapuri | Statement: [Dharmapuri district, hasCity, Dharmapuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dharmapuri Context triple: [Dharmapuri district, hasCity, Dharmapuri]
-
A.
Dharapuram
Dharapuram is a historic town and regional commercial center in the Tiruppur district of Tamil Nadu, India, situated within the Kongu Nadu region.
-
B.
Dharmapuri district
chosen
Dharmapuri district is an administrative region in the Indian state of Tamil Nadu known for its natural landscapes, including prominent waterfalls and forested areas.
-
C.
Ariyalur
Ariyalur is a town in Tamil Nadu, India, known for its rich limestone deposits, cement industries, and significant archaeological and fossil findings.
-
D.
Ramachandrapuram
Ramachandrapuram is a town in the Indian state of Andhra Pradesh, known as a local commercial and administrative center in the East Godavari region.
-
E.
Gandhipuram
Gandhipuram is a major commercial and transportation hub in Coimbatore, Tamil Nadu, known for its busy markets, shopping centers, and connectivity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e0f6f3c8190a64058b732b0ac52 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfd550c81909ad487d3d7d7c313 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 10:17 p.m.