Triple
T8614704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vandiyur Mariamman Teppakulam |
E204006
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object |
Vandiyur
Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
|
E751940
|
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: Vandiyur | Statement: [Vandiyur Mariamman Teppakulam, neighborhood, Vandiyur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vandiyur Context triple: [Vandiyur Mariamman Teppakulam, neighborhood, Vandiyur]
-
A.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
B.
Karpagam
Karpagam is a notable Indian film associated with the acclaimed actress Savithri, recognized for her impactful performance in it.
-
C.
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.
-
D.
Palani
Palani is a major Hindu pilgrimage town in Tamil Nadu, India, renowned for its hilltop temple dedicated to the god Kartikeya (Murugan).
-
E.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
- 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: Vandiyur Triple: [Vandiyur Mariamman Teppakulam, neighborhood, Vandiyur]
Generated description
Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vandiyur Target entity description: Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
-
A.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
B.
Karpagam
Karpagam is a notable Indian film associated with the acclaimed actress Savithri, recognized for her impactful performance in it.
-
C.
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.
-
D.
Palani
Palani is a major Hindu pilgrimage town in Tamil Nadu, India, renowned for its hilltop temple dedicated to the god Kartikeya (Murugan).
-
E.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47020748819090f658c115c1a7b9 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef33f0aa0819091e101f822c53c0f |
completed | April 2, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_69cef52000048190bc5451cfb6446ced |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef809df548190b4f9ecc709b3b065 |
completed | April 2, 2026, 11:13 p.m. |
Created at: March 30, 2026, 6:25 p.m.