Triple

T922288
Position Surface form Disambiguated ID Type / Status
Subject Queen’s Royal Hussars E19906 entity
Predicate hasAbbreviation P43 FINISHED
Object QRH
QRH is the abbreviation for the Queen’s Royal Hussars, a cavalry regiment of the British Army.
E108035 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: QRH | Statement: [Queen’s Royal Hussars, hasAbbreviation, QRH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QRH
Context triple: [Queen’s Royal Hussars, hasAbbreviation, QRH]
  • A. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • B. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • C. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • D. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • E. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • 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: QRH
Triple: [Queen’s Royal Hussars, hasAbbreviation, QRH]
Generated description
QRH is the abbreviation for the Queen’s Royal Hussars, a cavalry regiment of the British Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QRH
Target entity description: QRH is the abbreviation for the Queen’s Royal Hussars, a cavalry regiment of the British Army.
  • A. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • B. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • C. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • D. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • E. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b313cb908190ad78b3a54e4f2eb7 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d02d9d308190a9e950ae034b2ec5 completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d0aac93481908ffc2141d668e9d2 completed March 4, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:40 p.m.