Triple

T17403068
Position Surface form Disambiguated ID Type / Status
Subject Zakim Bridge E423143 entity
Predicate designedBy P184 FINISHED
Object HNTB Corporation NE NERFINISHED

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 Corporation | Statement: [Zakim Bridge, designedBy, HNTB Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HNTB Corporation
Context triple: [Zakim Bridge, designedBy, HNTB Corporation]
  • 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. 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.
  • D. Parsons Brinckerhoff
    Parsons Brinckerhoff is a global engineering and professional services firm known for its major infrastructure and transportation projects.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b051cc48190872278ee0b52240d completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.