Triple

T9169879
Position Surface form Disambiguated ID Type / Status
Subject HDR E220054 entity
Predicate hasAbbreviation P43 FINISHED
Object HDR E220054 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: HDR | Statement: [HDR, hasAbbreviation, HDR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HDR
Context triple: [HDR, hasAbbreviation, HDR]
  • A. HDR chosen
    HDR is the commonly used abbreviation for the United Nations Development Programme’s annual Human Development Report, which assesses global progress in human development beyond economic growth alone.
  • B. HD
    HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
  • C. HD
    HD is an inherited neurodegenerative disorder characterized by progressive motor dysfunction, cognitive decline, and psychiatric symptoms caused by a CAG repeat expansion in the huntingtin gene.
  • D. HD
    HD is the vehicle registration code used for the German city of Heidelberg.
  • E. HD
    HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae23f048190847f12317be925b1 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549746b0819099c2a591900f9c8c completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.