Triple

T25699811
Position Surface form Disambiguated ID Type / Status
Subject Salt Lake City E644426 entity
Predicate Sector VFunction P160931 FINISHED
Object information technology hub LITERAL 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: information technology hub | Statement: [Salt Lake City, Sector VFunction, information technology hub]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Sector VFunction
Context triple: [Salt Lake City, Sector VFunction, information technology hub]
  • A. vesselFunction
    Indicates that one entity serves as the functional role, purpose, or operational use of a vessel in relation to another entity.
  • B. structureFunction
    Indicates that one entity’s physical or organizational structure serves a particular function or role in relation to another entity.
  • C. sestetFunction
    Indicates the specific structural or thematic role that a sestet (a six-line poetic unit, often the final part of a sonnet) performs within a poem.
  • D. PLEXFunction
    Indicates a functional or operational role that one entity performs or serves for another within a system or context.
  • E. usesVAR
    Indicates that one entity makes use of, employs, or utilizes another entity as a variable or resource in performing some function or operation.
  • F. None of above. chosen

Provenance (4 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_69e77e82c9bc8190893090b2f6c64f1d completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f60cd7b3e88190a1206958c0f0b225 completed May 2, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
PDg Predicate description generation batch_69f60c32ce088190a620eb59d2499fa9 completed May 2, 2026, 2:37 p.m.
Created at: April 21, 2026, 8:43 p.m.