Triple

T35880131
Position Surface form Disambiguated ID Type / Status
Subject Magnus oil field E1037483 entity
Predicate offshoreDistanceCategory P104574 FINISHED
Object far offshore 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: far offshore | Statement: [Magnus oil field, offshoreDistanceCategory, far offshore]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offshoreDistanceCategory
Context triple: [Magnus oil field, offshoreDistanceCategory, far offshore]
  • A. hasDistanceCategory chosen
    Indicates that one entity is associated with a qualitative or categorical classification of its distance relative to another entity or reference point.
  • B. onshoreOrOffshore
    Indicates whether something is located or occurring on land (onshore) or at sea/away from land (offshore).
  • C. distanceFromCoast
    Indicates the measured spatial separation between a location and the nearest point on a coastline.
  • D. distanceFromMainland
    Indicates the measured spatial separation between a location and the nearest point on the mainland.
  • E. distanceCategory
    Indicates the qualitative classification of how far apart two entities are from each other (e.g., near, medium, far).
  • 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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3883d48190b05e3d2da7a017ae completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d435288190b30b1991fb003121 completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.