Triple

T748263
Position Surface form Disambiguated ID Type / Status
Subject Honduras E15390 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object HN
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
E88951 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: HN | Statement: [Honduras, ISO3166-1Alpha2, HN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HN
Context triple: [Honduras, ISO3166-1Alpha2, HN]
  • 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. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • C. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • D. HNM
    HNM is the IATA airport code for Hana Airport, a small regional airport serving the town of Hana on the island of Maui in Hawaii.
  • E. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • 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: HN
Triple: [Honduras, ISO3166-1Alpha2, HN]
Generated description
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HN
Target entity description: HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • 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. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • C. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • D. HNM
    HNM is the IATA airport code for Hana Airport, a small regional airport serving the town of Hana on the island of Maui in Hawaii.
  • E. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62f31888190b80cb0a7220f8d80 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e664e4819081badaf0ba0d86e5 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655e0a2608190801fb67856bc2ac4 completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65704a964819097ad5074e83303b4 completed March 3, 2026, 3:35 a.m.
Created at: March 1, 2026, 7:37 p.m.