Triple

T3453559
Position Surface form Disambiguated ID Type / Status
Subject IN-HP E72848 entity
Predicate subdivisionCodePart P22016 FINISHED
Object HP E72847 NE FINISHED

How this triple was built (3 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: HP | Statement: [IN-HP, subdivisionCodePart, HP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HP
Context triple: [IN-HP, subdivisionCodePart, HP]
  • A. HP chosen
    HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
  • B. HP
    HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
  • C. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • D. Dell
    Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
  • E. Compaq
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivisionCodePart
Context triple: [IN-HP, subdivisionCodePart, HP]
  • A. hasSubdivisionCode chosen
    Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
  • B. partOfCountrySubdivision
    Indicates that one geographic or administrative unit is contained within and forms a component part of a larger country subdivision.
  • C. hasSubdivisionCodeContext
    Indicates that a subdivision code is interpreted within a specific coding or contextual framework that defines its meaning.
  • D. hasTypeOfSubdivision
    Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
  • E. subdividedBy
    Indicates that something is divided into smaller parts or sections by another entity or criterion.
  • F. None of above.

Provenance (4 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa457fc8190824ca00254e962f9 completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360fc823c8190a0f1807b39706b3f completed March 13, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69adae041d588190a84a02bca94adec8 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.