Triple
T8550425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jallikattu |
E202430
|
entity |
| Predicate | notableLocation |
P3858
|
FINISHED |
| Object |
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
|
E743487
|
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: Avaniapuram | Statement: [Jallikattu, notableLocation, Avaniapuram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avaniapuram Context triple: [Jallikattu, notableLocation, Avaniapuram]
-
A.
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.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Brahmapuri
Brahmapuri is a town in Maharashtra, India, known as one of the important urban centers within Chandrapur district.
-
D.
Gandhipuram
Gandhipuram is a major commercial and transportation hub in Coimbatore, Tamil Nadu, known for its busy markets, shopping centers, and connectivity.
-
E.
Punganur
Punganur is a town in the Chittoor district of Andhra Pradesh, India, known for its agricultural market and the indigenous Punganur dwarf cattle breed.
- 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: Avaniapuram Triple: [Jallikattu, notableLocation, Avaniapuram]
Generated description
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avaniapuram Target entity description: Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
-
A.
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.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Brahmapuri
Brahmapuri is a town in Maharashtra, India, known as one of the important urban centers within Chandrapur district.
-
D.
Gandhipuram
Gandhipuram is a major commercial and transportation hub in Coimbatore, Tamil Nadu, known for its busy markets, shopping centers, and connectivity.
-
E.
Punganur
Punganur is a town in the Chittoor district of Andhra Pradesh, India, known for its agricultural market and the indigenous Punganur dwarf cattle breed.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce892efdf8819093c966bd8f6c8065 |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8c7ad5cc8190a50c8e15ce353d1d |
completed | April 2, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d595d80819093a1b849bcb3c7c7 |
completed | April 2, 2026, 3:38 p.m. |
Created at: March 30, 2026, 6:19 p.m.