Triple

T11455481
Position Surface form Disambiguated ID Type / Status
Subject Havelian E271514 entity
Predicate postalService P14605 FINISHED
Object Pakistan Post E783794 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: Pakistan Post | Statement: [Havelian, postalService, Pakistan Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistan Post
Context triple: [Havelian, postalService, Pakistan Post]
  • A. Pakistan Post chosen
    Pakistan Post is the state-owned postal and courier service of Pakistan, providing mail, logistics, and financial services across the country.
  • 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. India Post
    India Post is the government-operated postal system of India, providing mail, financial, and retail services across an extensive nationwide network.
  • D. Israel Postal Service
    Israel Postal Service is the national postal operator of Israel, responsible for mail delivery, logistics, and related financial and communication services across the country.
  • E. Pakistan International Airlines
    Pakistan International Airlines is the national flag carrier of Pakistan, operating domestic and international flights across Asia, Europe, and North America.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c7057688190ad8aa99426e4ca30 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3e197c881909db2e4e59c61c3c3 completed April 20, 2026, 7:21 a.m.
Created at: April 8, 2026, 9:35 p.m.