Triple

T8203594
Position Surface form Disambiguated ID Type / Status
Subject High-level Committee on Programmes E191636 entity
Predicate abbreviation P43 FINISHED
Object HLCP
HLCP is a senior-level United Nations coordination body that brings together executive leaders to align and strategize system-wide policies and programmes.
 E719347 NE FINISHED

How this triple was built (4 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: HLCP | Statement: [High-level Committee on Programmes, abbreviation, HLCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLCP
Context triple: [High-level Committee on Programmes, abbreviation, HLCP]
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HLP
    HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
  • C. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • D. HLF
    HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
  • E. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HLCP
Triple: [High-level Committee on Programmes, abbreviation, HLCP]
Generated description
HLCP is a senior-level United Nations coordination body that brings together executive leaders to align and strategize system-wide policies and programmes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLCP
Target entity description: HLCP is a senior-level United Nations coordination body that brings together executive leaders to align and strategize system-wide policies and programmes.
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HLP
    HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
  • C. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • D. HLF
    HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
  • E. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • F. None of above. chosen

Provenance (5 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df9cac08190a890ded4c7fbd393 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedcb45d0819099c13bd455526974 completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b818588190936f96d53bf08c2b completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05c2059081908bd04ee4722f9aad completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:43 p.m.