Triple
T17958908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viluppuram district |
E449023
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Viluppuram |
E343119
|
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: Viluppuram | Statement: [Viluppuram district, hasTown, Viluppuram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viluppuram Context triple: [Viluppuram district, hasTown, Viluppuram]
-
A.
Villupuram
chosen
Villupuram is a major town and transport hub in the Indian state of Tamil Nadu, known for its important railway junction linking routes across the region.
-
B.
Perambalur
Perambalur is a town and district headquarters in the Indian state of Tamil Nadu, known for its agricultural economy and historical temples.
-
C.
Chengalpattu
Chengalpattu is a town and administrative center in the Indian state of Tamil Nadu, located southwest of Chennai and known as a growing suburban and industrial hub.
-
D.
Pattukkottai
Pattukkottai is a town in the Thanjavur district of Tamil Nadu, India, known for its agricultural economy and role as a regional commercial center.
-
E.
Pudukkottai
Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b130b7a081908542a3bc6dab5842 |
completed | April 19, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035657374081908bc447b4cad5e5d4 |
completed | May 12, 2026, 4:33 p.m. |
Created at: April 10, 2026, 10:22 a.m.