Triple

T5933649
Position Surface form Disambiguated ID Type / Status
Subject Saint-Gobain E131993 entity
Predicate hasSubsidiary P254 FINISHED
Object Saint-Gobain PAM E131993 NE 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: Saint-Gobain PAM | Statement: [Saint-Gobain, hasSubsidiary, Saint-Gobain PAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Gobain PAM
Context triple: [Saint-Gobain, hasSubsidiary, Saint-Gobain PAM]
  • A. Saint-Gobain chosen
    Saint-Gobain is a major French multinational corporation specializing in the production and distribution of construction materials and high-performance solutions for buildings and industry.
  • B. PPG Industries
    PPG Industries is a global American company specializing in paints, coatings, and specialty materials for industrial, commercial, and consumer markets.
  • C. Pilkington glass company
    Pilkington glass company is a major British glass manufacturer renowned for pioneering the float glass process and supplying glass products worldwide.
  • D. PPG
    PPG is the IATA airport code for Pago Pago International Airport, the main air gateway to American Samoa.
  • E. Arkema
    Arkema is a French multinational specialty chemicals and advanced materials company known for its innovations in adhesives, coatings, and performance polymers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3affd748190a37e3cc60e58d6a6 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.