Triple

T4541649
Position Surface form Disambiguated ID Type / Status
Subject Taylor, Texas E107545 entity
Predicate hasIndustrialDevelopment P57588 FINISHED
Object manufacturing facilities 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: manufacturing facilities | Statement: [Taylor, Texas, hasIndustrialDevelopment, manufacturing facilities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIndustrialDevelopment
Context triple: [Taylor, Texas, hasIndustrialDevelopment, manufacturing facilities]
  • A. hasIndustrialSector
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • B. hasEconomicDevelopment
    Indicates that one entity possesses, experiences, or is characterized by a certain level or type of economic growth, progress, or improvement in its economic conditions.
  • C. hasIndustrialPark
    Indicates that a location or entity possesses or contains an industrial park within its area or jurisdiction.
  • D. isIndustrialCenter
    Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
  • E. isIndustrialRegion
    Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d219d88190a67ada845323d7fb completed March 20, 2026, 2:21 p.m.
PD Predicate disambiguation batch_69bd5220e40481908ca2d7e2c43d8531 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56f6e75481909c487a94a2c2d0ba completed March 20, 2026, 2:17 p.m.
Created at: March 20, 2026, 1:04 p.m.