Triple

T16913743
Position Surface form Disambiguated ID Type / Status
Subject Office of the Leader of the House of Lords E410267 entity
Predicate hasAbbreviation P43 FINISHED
Object OLHL
OLHL is the UK government department that supports the Leader of the House of Lords in managing government business and legislative affairs in the House of Lords.
 E1239855 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: OLHL | Statement: [Office of the Leader of the House of Lords, hasAbbreviation, OLHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OLHL
Context triple: [Office of the Leader of the House of Lords, hasAbbreviation, OLHL]
  • A. OHL
    OHL stands for the Ontario Hockey League, a major junior ice hockey league in Canada that is one of the primary development paths to the NHL.
  • B. OHL
    OHL is the commonly used abbreviation for Oud-Heverlee Leuven, a Belgian professional football club based in Leuven.
  • C. OEHL
    OEHL is the ICAO airport code assigned to Ha'il Regional Airport in Saudi Arabia.
  • D. NAHL
    NAHL is a North American junior ice hockey league that develops young players as a key step toward collegiate and professional competition.
  • E. UKHL
    UKHL refers to the United Kingdom House of Lords in its former capacity as the highest appellate court in the UK before the creation of the Supreme Court.
  • 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: OLHL
Triple: [Office of the Leader of the House of Lords, hasAbbreviation, OLHL]
Generated description
OLHL is the UK government department that supports the Leader of the House of Lords in managing government business and legislative affairs in the House of Lords.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OLHL
Target entity description: OLHL is the UK government department that supports the Leader of the House of Lords in managing government business and legislative affairs in the House of Lords.
  • A. OHL
    OHL stands for the Ontario Hockey League, a major junior ice hockey league in Canada that is one of the primary development paths to the NHL.
  • B. OHL
    OHL is the commonly used abbreviation for Oud-Heverlee Leuven, a Belgian professional football club based in Leuven.
  • C. OEHL
    OEHL is the ICAO airport code assigned to Ha'il Regional Airport in Saudi Arabia.
  • D. NAHL
    NAHL is a North American junior ice hockey league that develops young players as a key step toward collegiate and professional competition.
  • E. UKHL
    UKHL refers to the United Kingdom House of Lords in its former capacity as the highest appellate court in the UK before the creation of the Supreme Court.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7be679c8190b9d0b0b9cfe185d3 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c9059a2c819099ede5a7b6e25b18 completed May 10, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9d1c6a0819083635b8246cc82e7 completed May 10, 2026, 6:09 p.m.
Created at: April 10, 2026, 5:30 a.m.