Triple

T15694771
Position Surface form Disambiguated ID Type / Status
Subject Thasra E380429 entity
Predicate postalSystemCountry P1083 FINISHED
Object India Post E460672 NE FINISHED

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: [Thasra, postalSystemCountry, India Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India Post
Context triple: [Thasra, postalSystemCountry, 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. Sri Lanka Post
    Sri Lanka Post is the national postal service of Sri Lanka, providing mail delivery, logistics, and related services across the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eed9a8c8190a57ffce61a27ec17 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.