Triple

T19873268
Position Surface form Disambiguated ID Type / Status
Subject GIH E477574 entity
Predicate shortName P43 FINISHED
Object GIH 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: GIH | Statement: [GIH, shortName, GIH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GIH
Context triple: [GIH, shortName, GIH]
  • A. GIH chosen
    GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
  • B. HGI
    HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
  • C. HIH
    HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
  • D. GI
    GI is the vehicle registration code used on license plates for the German city of Gießen in the state of Hesse.
  • E. KIH
    KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d92f9c8190b363587ed1881c2c completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.