Triple
T8294532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guntur district |
E194180
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Ponnur
Ponnur is a town in the Indian state of Andhra Pradesh, known for its agricultural surroundings and local temples.
|
E723573
|
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: Ponnur | Statement: [Guntur district, hasTown, Ponnur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ponnur Context triple: [Guntur district, hasTown, Ponnur]
-
A.
Paramakudi
Paramakudi is a town in the Indian state of Tamil Nadu known as a regional commercial and transportation hub.
-
B.
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.
-
C.
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.
-
D.
Marudamalai
Marudamalai is a hill region near Coimbatore in Tamil Nadu, India, renowned as a major pilgrimage site dedicated to the Hindu deity Murugan.
-
E.
Manachanallur
Manachanallur is a town in the Indian state of Tamil Nadu, known for its rice mills and agricultural economy.
- 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: Ponnur Triple: [Guntur district, hasTown, Ponnur]
Generated description
Ponnur is a town in the Indian state of Andhra Pradesh, known for its agricultural surroundings and local temples.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ponnur Target entity description: Ponnur is a town in the Indian state of Andhra Pradesh, known for its agricultural surroundings and local temples.
-
A.
Paramakudi
Paramakudi is a town in the Indian state of Tamil Nadu known as a regional commercial and transportation hub.
-
B.
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.
-
C.
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.
-
D.
Marudamalai
Marudamalai is a hill region near Coimbatore in Tamil Nadu, India, renowned as a major pilgrimage site dedicated to the Hindu deity Murugan.
-
E.
Manachanallur
Manachanallur is a town in the Indian state of Tamil Nadu, known for its rice mills and agricultural economy.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df5fff88190ac51a8d1c3eb2fe2 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68a3258481908fe04fed1d00c9ba |
completed | April 1, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69cd6d567c3c81908a7ec5bc13be529d |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e3e2f848190a22ad8739bb8e298 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:52 p.m.