Triple

T8702046
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Defence of Hungary E206554 entity
Predicate shortName P43 FINISHED
Object HM
HM is the abbreviated designation commonly used for Hungary’s Ministry of Defence.
E751839 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: HM | Statement: [Ministry of Defence of Hungary, shortName, HM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HM
Context triple: [Ministry of Defence of Hungary, shortName, HM]
  • A. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • B. HM
    HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
  • C. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • D. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • E. MH
    MH is the common abbreviation for the Memphis Hustle, the NBA G League affiliate of the Memphis Grizzlies.
  • 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: HM
Triple: [Ministry of Defence of Hungary, shortName, HM]
Generated description
HM is the abbreviated designation commonly used for Hungary’s Ministry of Defence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HM
Target entity description: HM is the abbreviated designation commonly used for Hungary’s Ministry of Defence.
  • A. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • B. HM
    HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
  • C. MH
    MH is the common abbreviation for the Memphis Hustle, the NBA G League affiliate of the Memphis Grizzlies.
  • D. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b38cf88190bfdcbac9c340cb96 completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef41657588190ba6f79c27658dd1b completed April 2, 2026, 10:56 p.m.
NEDg Description generation batch_69cef8292f4c81909098f1205b6b5595 completed April 2, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_69cef8c6e0c08190b1810f00cb4cc304 completed April 2, 2026, 11:16 p.m.
Created at: March 30, 2026, 6:34 p.m.