Triple

T1079975
Position Surface form Disambiguated ID Type / Status
Subject Semiconductor Equipment & Materials E23923 entity
Predicate includesSubsegment P21666 FINISHED
Object wafer fabrication equipment 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: wafer fabrication equipment | Statement: [Semiconductor Equipment & Materials, includesSubsegment, wafer fabrication equipment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesSubsegment
Context triple: [Semiconductor Equipment & Materials, includesSubsegment, wafer fabrication equipment]
  • A. hasSubPeriod
    Indicates that a time period is composed of or contains another, more specific time period as a subordinate part.
  • B. containsSubchapter
    Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
  • C. hasSubConcept chosen
    Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
  • D. hasExpressSegments
    Indicates that a route, service, or path includes segments that are designated as express, skipping certain intermediate stops or steps.
  • E. hasSubEvent
    Indicates that an event is composed of, or includes as part of its structure, another event that occurs within it.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94509d08190964509ea4a2d7912 completed March 1, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69a4b73d9f08819093668104f129840e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.