Triple

T18487075
Position Surface form Disambiguated ID Type / Status
Subject HTO Park E451717 entity
Predicate architect P184 FINISHED
Object gh3
gh3 is a Canadian architecture and landscape design firm known for its minimalist, environmentally integrated public spaces and civic projects.
E1326954 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: gh3 | Statement: [HTO Park, architect, gh3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gh3
Context triple: [HTO Park, architect, gh3]
  • A. GHT
    GHT is the IATA airport code for Ghat Airport, which serves the town of Ghat in southwestern Libya.
  • B. GHY
    GHY is the station code for Guwahati Junction, a major railway hub in the northeastern Indian state of Assam.
  • C. hg
    hg is the command-line tool and file format used by Mercurial, a distributed version control system for tracking changes in source code.
  • D. HG
    HG is the German vehicle registration code assigned to the Hochtaunuskreis district in the state of Hesse.
  • E. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • 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: gh3
Triple: [HTO Park, architect, gh3]
Generated description
gh3 is a Canadian architecture and landscape design firm known for its minimalist, environmentally integrated public spaces and civic projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: gh3
Target entity description: gh3 is a Canadian architecture and landscape design firm known for its minimalist, environmentally integrated public spaces and civic projects.
  • A. GHT
    GHT is the IATA airport code for Ghat Airport, which serves the town of Ghat in southwestern Libya.
  • B. GHY
    GHY is the station code for Guwahati Junction, a major railway hub in the northeastern Indian state of Assam.
  • C. hg
    hg is the command-line tool and file format used by Mercurial, a distributed version control system for tracking changes in source code.
  • D. HG
    HG is the German vehicle registration code assigned to the Hochtaunuskreis district in the state of Hesse.
  • E. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d7e79c819083bf5c54faaa4810 completed April 19, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f33d2ec8190bab6d3ba35ab82d8 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a0440531f6c8190a080d372d063fb33 completed May 13, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0441a395688190a376ae5bfe99a30f completed May 13, 2026, 9:17 a.m.
Created at: April 10, 2026, 11:35 a.m.