Triple

T10263827
Position Surface form Disambiguated ID Type / Status
Subject San Diego Convention Center E240666 entity
Predicate architect P184 FINISHED
Object HNTB E287125 NE FINISHED

How this triple was built (2 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: HNTB | Statement: [San Diego Convention Center, architect, HNTB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HNTB
Context triple: [San Diego Convention Center, architect, HNTB]
  • A. HNTB chosen
    HNTB is a prominent American architecture, engineering, and planning firm known for designing major sports venues and transportation infrastructure projects.
  • B. CH2M Hill
    CH2M Hill was a global engineering and construction firm known for its large-scale infrastructure, environmental, and transportation projects.
  • C. Parsons Brinckerhoff
    Parsons Brinckerhoff is a global engineering and professional services firm known for its major infrastructure and transportation projects.
  • D. AECOM
    AECOM is a global infrastructure consulting firm that provides architecture, engineering, construction management, and related professional services for large-scale public and private projects.
  • E. Michael Baker Jr., Inc.
    Michael Baker Jr., Inc. is an American engineering and consulting firm renowned for its major infrastructure projects, including iconic bridges and transportation systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25e68fc8190b46699d2266c0505 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7f81dd481909022efde8fc46e68 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:33 a.m.