Triple

T16062256
Position Surface form Disambiguated ID Type / Status
Subject Jind district E389639 entity
Predicate isoCode P189 FINISHED
Object IN-HR E405750 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: IN-HR | Statement: [Jind district, isoCode, IN-HR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IN-HR
Context triple: [Jind district, isoCode, IN-HR]
  • A. IN-HR chosen
    IN-HR is the ISO 3166-2 code representing the Indian state of Haryana.
  • B. .hr
    .hr is the country code top-level domain (ccTLD) assigned to Croatia for use in internet addresses.
  • C. HRK
    HRK is the three-letter IATA airport code for Kharkiv International Airport in Kharkiv, Ukraine.
  • D. HRK
    HRK is the German Rectors' Conference, a voluntary association representing the interests of universities and other higher education institutions in Germany.
  • E. Croatian
    Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837a04108190b5a1dbbe2063039e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ca9748190be24a490c3cf0e8c completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.