Triple

T22458143
Position Surface form Disambiguated ID Type / Status
Subject Kanyakumari district E555165 entity
Predicate containsTown P847 FINISHED
Object Marthandam NE NERFINISHED

How this triple was built (2 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: Marthandam | Statement: [Kanyakumari district, containsTown, Marthandam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marthandam
Context triple: [Kanyakumari district, containsTown, Marthandam]
  • A. Marthandam chosen
    Marthandam is a town in the Kanyakumari district of Tamil Nadu, India, known as a regional commercial hub and administrative center.
  • B. Koothattukulam
    Koothattukulam is a small town in the Indian state of Kerala known for its agrarian surroundings and local trading activities.
  • C. Uthukottai
    Uthukottai is a prominent town in the Tiruvallur district of Tamil Nadu, India, known as a local commercial and administrative center for surrounding rural areas.
  • D. Chengannur
    Chengannur is a town in the Alappuzha district of Kerala, India, known as a gateway to the Sabarimala pilgrimage and for its proximity to the Pamba River.
  • E. Kayamkulam
    Kayamkulam is a historic town and former feudal kingdom in present-day Kerala, India, known for its backwaters, traditional industries, and role in the region’s pre-modern political conflicts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7d00208190955a70e2c22d25a4 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.