Triple

T17958914
Position Surface form Disambiguated ID Type / Status
Subject Viluppuram district E449023 entity
Predicate hasTown P847 FINISHED
Object Vanur
Vanur is a town in the Viluppuram district of the Indian state of Tamil Nadu, known primarily as a local administrative and commercial center for surrounding rural areas.
 E1298204 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: Vanur | Statement: [Viluppuram district, hasTown, Vanur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vanur
Context triple: [Viluppuram district, hasTown, Vanur]
  • A. Vana
    Vana is a diminutive or nickname commonly used for the given name Silvana.
  • B. Vao
    Vao is an Oceanic language spoken in northern Vanuatu, primarily on Vao Island off the coast of Malakula.
  • C. Vao
    Vao is the main village and administrative center of the Île des Pins in New Caledonia, known for its traditional Kanak culture and proximity to the island’s famous beaches and lagoons.
  • D. Volm
    The Volm are an advanced alien species in the TV series "Falling Skies" who arrive on Earth as potential allies to humanity in its war against the Espheni invaders.
  • E. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • 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: Vanur
Triple: [Viluppuram district, hasTown, Vanur]
Generated description
Vanur is a town in the Viluppuram district of the Indian state of Tamil Nadu, known primarily as a local administrative and commercial center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vanur
Target entity description: Vanur is a town in the Viluppuram district of the Indian state of Tamil Nadu, known primarily as a local administrative and commercial center for surrounding rural areas.
  • A. Vana
    Vana is a diminutive or nickname commonly used for the given name Silvana.
  • B. Vao
    Vao is an Oceanic language spoken in northern Vanuatu, primarily on Vao Island off the coast of Malakula.
  • C. Vao
    Vao is the main village and administrative center of the Île des Pins in New Caledonia, known for its traditional Kanak culture and proximity to the island’s famous beaches and lagoons.
  • D. Volm
    The Volm are an advanced alien species in the TV series "Falling Skies" who arrive on Earth as potential allies to humanity in its war against the Espheni invaders.
  • E. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b130b7a081908542a3bc6dab5842 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0329231bc88190bd8dddb2d2f9e5fa completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032b6bbebc819084da96216c6406d6 completed May 12, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a032c34e8ac8190876e37fe8d3aa304 completed May 12, 2026, 1:33 p.m.
Created at: April 10, 2026, 10:22 a.m.