Triple
T4533440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanathapuram district |
E106350
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
|
E453350
|
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: Keelakarai | Statement: [Ramanathapuram district, containsTown, Keelakarai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keelakarai Context triple: [Ramanathapuram district, containsTown, Keelakarai]
-
A.
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.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Kaveripattinam
Kaveripattinam is an ancient port city of the Chola kingdom in South India, renowned as a key setting in classical Tamil literature.
-
D.
Swamimalai
Swamimalai is a prominent Hindu pilgrimage town in Tamil Nadu, India, renowned for its ancient Murugan temple and sacred hill associated with the god Kartikeya.
-
E.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
- 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: Keelakarai Triple: [Ramanathapuram district, containsTown, Keelakarai]
Generated description
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keelakarai Target entity description: Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
A.
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.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Kaveripattinam
Kaveripattinam is an ancient port city of the Chola kingdom in South India, renowned as a key setting in classical Tamil literature.
-
D.
Swamimalai
Swamimalai is a prominent Hindu pilgrimage town in Tamil Nadu, India, renowned for its ancient Murugan temple and sacred hill associated with the god Kartikeya.
-
E.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a08ec4819091b84d53d7b564a7 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd38b19a481908b84b49436517387 |
completed | March 20, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69bdd47b2740819089cd9a3713402499 |
completed | March 20, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd4d005a48190bb5049e9cc281011 |
completed | March 20, 2026, 11:14 p.m. |
Created at: March 20, 2026, 1:04 p.m.