Triple

T9348792
Position Surface form Disambiguated ID Type / Status
Subject Ernakulam district E224961 entity
Predicate contains P35 FINISHED
Object Piravom
Piravom is a small town in the Indian state of Kerala known for its temples, churches, and scenic location along the Muvattupuzha River.
E792498 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: Piravom | Statement: [Ernakulam district, contains, Piravom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piravom
Context triple: [Ernakulam district, contains, Piravom]
  • A. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • B. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • C. Pimampiro
    Pimampiro is a small town and canton in northern Ecuador known for its agricultural production and Andean highland landscapes.
  • D. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • E. Pervalka
    Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
  • 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: Piravom
Triple: [Ernakulam district, contains, Piravom]
Generated description
Piravom is a small town in the Indian state of Kerala known for its temples, churches, and scenic location along the Muvattupuzha River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piravom
Target entity description: Piravom is a small town in the Indian state of Kerala known for its temples, churches, and scenic location along the Muvattupuzha River.
  • A. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • B. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • C. Pimampiro
    Pimampiro is a small town and canton in northern Ecuador known for its agricultural production and Andean highland landscapes.
  • D. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • E. Pervalka
    Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f107f0081908938f4b814eca5fc completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e43c31008190b542a9c5aa33f30e completed April 4, 2026, 10:13 a.m.
NEDg Description generation batch_69d0e587586c8190a73ce417f0b5adec completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e5eb2ce88190973acc2cc8ce254f completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:41 p.m.