Triple

T14124352
Position Surface form Disambiguated ID Type / Status
Subject Xinzhou E339987 entity
Predicate hasSectorDevelopment P57588 FINISHED
Object energy-related industries 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: energy-related industries | Statement: [Xinzhou, hasSectorDevelopment, energy-related industries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSectorDevelopment
Context triple: [Xinzhou, hasSectorDevelopment, energy-related industries]
  • A. hasIndustrialSector
    Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
  • B. hasIndustrialDevelopment chosen
    Indicates that an entity possesses, supports, or is characterized by industrial growth, infrastructure, or manufacturing-related development.
  • C. hasGrowingSector
    Indicates that a particular sector or industry is experiencing growth or expansion over time.
  • D. 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.
  • E. hasDevelopmentAgenda
    Indicates that an entity maintains or follows a specific plan, set of priorities, or strategic goals guiding its development activities or initiatives.
  • F. None of above.

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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.