Triple

T13426693
Position Surface form Disambiguated ID Type / Status
Subject Heritage Documentation Programs E313498 entity
Predicate abbreviation P43 FINISHED
Object HDP E313498 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: HDP | Statement: [Heritage Documentation Programs, abbreviation, HDP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HDP
Context triple: [Heritage Documentation Programs, abbreviation, HDP]
  • A. HDP chosen
    HDP is the acronym for Heritage Documentation Programs, a U.S. National Park Service initiative that records and preserves historic sites, structures, and engineering works through detailed documentation.
  • B. HDP
    The HDP (Peoples' Democratic Party) is a left-wing, pro-Kurdish and progressive political party in Turkey that advocates for minority rights, democracy, and social justice.
  • C. CDH
    CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
  • D. CDH
    CDH is a centrist Christian democratic political party in Belgium, primarily active in the French-speaking region.
  • E. Hadoop
    Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308673488190a64f4b205899605b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:40 p.m.