Triple

T20146041
Position Surface form Disambiguated ID Type / Status
Subject Komagata Maru E491304 entity
Predicate daysHeldOffshore P138844 FINISHED
Object about 2 months 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: about 2 months | Statement: [Komagata Maru, daysHeldOffshore, about 2 months]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: daysHeldOffshore
Context triple: [Komagata Maru, daysHeldOffshore, about 2 months]
  • A. onshoreOrOffshore
    Indicates whether something is located or occurring on land (onshore) or at sea/away from land (offshore).
  • B. offshoreUnit
    Indicates that one entity is an offshore facility or installation associated with, located near, or operating in relation to another entity (such as a geographic area, project, or jurisdiction).
  • C. offshoreFeature
    Indicates that a geographic or structural feature is located in a marine or aquatic area away from the shoreline.
  • D. locatedOffshoreOf
    Indicates that one entity is situated in an offshore area (typically at sea) relative to another, such as off the coast or maritime boundary of that reference entity.
  • E. hasOffshoreLegs
    Indicates that an entity has one or more operational components, activities, or segments located offshore (e.g., at sea or outside its home jurisdiction).
  • F. None of above. chosen

Provenance (4 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679e43a48190b3a5da5710b07ff7 completed April 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69e54cfb0d0081908e789b9b57e96668 completed April 19, 2026, 9:45 p.m.
PDg Predicate description generation batch_69e54fc2bc3c819088c33cd263303433 completed April 19, 2026, 9:57 p.m.
Created at: April 11, 2026, 11:33 p.m.