Triple

T826468
Position Surface form Disambiguated ID Type / Status
Subject HM Passport Office E17862 entity
Predicate shortName P43 FINISHED
Object HMPO
HMPO is the abbreviated name for Her Majesty's Passport Office, the UK government agency responsible for issuing passports and managing civil registration services.
E96667 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: HMPO | Statement: [HM Passport Office, shortName, HMPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HMPO
Context triple: [HM Passport Office, shortName, HMPO]
  • A. THPO
    THPO is the acronym for a Tribal Historic Preservation Office, the tribal agency responsible for protecting and managing a Native American tribe’s cultural and historic resources.
  • B. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • C. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • D. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • E. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • 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: HMPO
Triple: [HM Passport Office, shortName, HMPO]
Generated description
HMPO is the abbreviated name for Her Majesty's Passport Office, the UK government agency responsible for issuing passports and managing civil registration services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HMPO
Target entity description: HMPO is the abbreviated name for Her Majesty's Passport Office, the UK government agency responsible for issuing passports and managing civil registration services.
  • A. THPO
    THPO is the acronym for a Tribal Historic Preservation Office, the tribal agency responsible for protecting and managing a Native American tribe’s cultural and historic resources.
  • B. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • C. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • D. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • E. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab989748819091a3809a747a1c5b completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9577f081908aa31b1926e04bb8 completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a78204c1208190b2d2d19cdea93b57 completed March 4, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69a78648601881908bfcb9390ac4d6d2 completed March 4, 2026, 1:09 a.m.
Created at: March 1, 2026, 7:38 p.m.