Triple

T10511097
Position Surface form Disambiguated ID Type / Status
Subject Cor-Ten steel E247915 entity
Predicate mayHaveIssue P45135 FINISHED
Object runoff staining adjacent materials during weathering 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: runoff staining adjacent materials during weathering | Statement: [Cor-Ten steel, mayHaveIssue, runoff staining adjacent materials during weathering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayHaveIssue
Context triple: [Cor-Ten steel, mayHaveIssue, runoff staining adjacent materials during weathering]
  • A. possibleIssue chosen
    Indicates that there is a potential or suspected problem, defect, or undesired condition associated with the referenced entity or situation, though it is not yet confirmed.
  • B. hadIssue
    Indicates that an entity experienced, encountered, or was affected by a particular problem, defect, or difficulty.
  • C. raisesIssue
    Indicates that one entity brings up, reports, or formally submits a concern, problem, or topic for attention to another entity or system.
  • D. mayResultIn
    Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
  • E. facingIssue
    Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b542088190868531f84deaf9e4 completed April 7, 2026, 1:42 p.m.
PD Predicate disambiguation batch_69d4fb919ea08190bcc1193e2014d437 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:27 p.m.