Triple

T17581581
Position Surface form Disambiguated ID Type / Status
Subject Bilaspur, Yamunanagar E428215 entity
Predicate postalSystem P7766 FINISHED
Object India Post 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: India Post | Statement: [Bilaspur, Yamunanagar, postalSystem, India Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India Post
Context triple: [Bilaspur, Yamunanagar, postalSystem, India Post]
  • A. India Post chosen
    India Post is the government-operated postal system of India, providing mail, financial, and retail services across an extensive nationwide network.
  • B. Bangladesh Post
    Bangladesh Post is the state-run postal service of Bangladesh, providing mail delivery, financial services, and related communications infrastructure across the country.
  • C. Pakistan Post
    Pakistan Post is the state-owned postal and courier service of Pakistan, providing mail, logistics, and financial services across the country.
  • D. China Post
    China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial services.
  • E. Bhutan Postal Corporation
    Bhutan Postal Corporation is the national postal service of Bhutan, responsible for mail delivery, philately, and related logistics across the country.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ce8eb081909257be47d150aa04 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.