Triple
T3111582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mettur Dam |
E64962
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Mettur
Mettur is a town in the Salem district of Tamil Nadu, India, known for its major industrial activities and its proximity to one of the largest dams in the state.
|
E327507
|
NE FINISHED |
How this triple was built (4 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: Mettur | Statement: [Mettur Dam, locatedNear, Mettur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mettur Context triple: [Mettur Dam, locatedNear, Mettur]
-
A.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
B.
Erode
Erode is a major city in the South Indian state of Tamil Nadu, known as a textile and turmeric trading hub on the banks of the Kaveri River.
-
C.
Kumbakonam
Kumbakonam is a historic temple town in the Indian state of Tamil Nadu, renowned for its rich cultural heritage, ancient temples, and traditional learning.
-
D.
Sullurpeta
Sullurpeta is a town in Andhra Pradesh, India, known primarily for its proximity to India’s premier spaceport, the Satish Dhawan Space Centre at Sriharikota.
-
E.
Tiruttani
Tiruttani is a temple town in Tamil Nadu, India, renowned as one of the sacred abodes of the Hindu god Kartikeya (Murugan).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mettur Triple: [Mettur Dam, locatedNear, Mettur]
Generated description
Mettur is a town in the Salem district of Tamil Nadu, India, known for its major industrial activities and its proximity to one of the largest dams in the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mettur Target entity description: Mettur is a town in the Salem district of Tamil Nadu, India, known for its major industrial activities and its proximity to one of the largest dams in the state.
-
A.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
B.
Erode
Erode is a major city in the South Indian state of Tamil Nadu, known as a textile and turmeric trading hub on the banks of the Kaveri River.
-
C.
Kumbakonam
Kumbakonam is a historic temple town in the Indian state of Tamil Nadu, renowned for its rich cultural heritage, ancient temples, and traditional learning.
-
D.
Sullurpeta
Sullurpeta is a town in Andhra Pradesh, India, known primarily for its proximity to India’s premier spaceport, the Satish Dhawan Space Centre at Sriharikota.
-
E.
Tiruttani
Tiruttani is a temple town in Tamil Nadu, India, renowned as one of the sacred abodes of the Hindu god Kartikeya (Murugan).
- F. None of above. chosen
Provenance (5 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43954f0819096a96331bf3c53a8 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20397cbdc8190abdd93b502f9577f |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204a8c5348190a2cb102b08fd6fa5 |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205bdf5c881908bc6ef7c3c30df65 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:04 p.m.