Triple

T13036892
Position Surface form Disambiguated ID Type / Status
Subject Salem district E326583 entity
Predicate hasTown P847 FINISHED
Object Vazhapadi
Vazhapadi is a town in the Indian state of Tamil Nadu, known for its agricultural surroundings and role as a local commercial center.
E648587 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: Vazhapadi | Statement: [Salem district, hasTown, Vazhapadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vazhapadi
Context triple: [Salem district, hasTown, Vazhapadi]
  • A. Marayoor
    Marayoor is a scenic village in Kerala, India, renowned for its natural sandalwood forests, prehistoric dolmens, and sugarcane farms near the Western Ghats.
  • B. Vilayanur
    Vilayanur is the given name of V. S. Ramachandran, a prominent neuroscientist known for his work on visual perception and phantom limbs.
  • C. Kayadhu
    Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
  • D. Uzhavoor
    Uzhavoor is a small town in the Kottayam district of Kerala, India, best known as the birthplace of former President of India K. R. Narayanan.
  • E. Thottiyam
    Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
  • 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: Vazhapadi
Triple: [Salem district, hasTown, Vazhapadi]
Generated description
Vazhapadi is a town in the Indian state of Tamil Nadu, known for its agricultural surroundings and role as a local commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vazhapadi
Target entity description: Vazhapadi is a town in the Indian state of Tamil Nadu, known for its agricultural surroundings and role as a local commercial center.
  • A. Marayoor
    Marayoor is a scenic village in Kerala, India, renowned for its natural sandalwood forests, prehistoric dolmens, and sugarcane farms near the Western Ghats.
  • B. Vilayanur
    Vilayanur is the given name of V. S. Ramachandran, a prominent neuroscientist known for his work on visual perception and phantom limbs.
  • C. Kayadhu
    Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
  • D. Uzhavoor
    Uzhavoor is a small town in the Kottayam district of Kerala, India, best known as the birthplace of former President of India K. R. Narayanan.
  • E. Thottiyam chosen
    Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
  • F. None of above.

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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead25b7c8190af2ccf26b44c2ea2 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f18100148190bdb501b21d37e6af completed May 3, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6f25118508190a35d88cfbdfd77ec completed May 3, 2026, 6:59 a.m.
Created at: April 9, 2026, 8:55 p.m.