Triple

T6305826
Position Surface form Disambiguated ID Type / Status
Subject Grimsby E141371 entity
Predicate hasSeaportFunction P44134 FINISHED
Object car import terminal 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: car import terminal | Statement: [Grimsby, hasSeaportFunction, car import terminal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeaportFunction
Context triple: [Grimsby, hasSeaportFunction, car import terminal]
  • A. hasSeaportStatus
    Indicates that an entity possesses the status or designation of being a seaport or having seaport facilities.
  • B. hasHarbor
    Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
  • C. isMainDeepWaterPortFor
    Indicates that one location serves as the primary deep-water port facility for another entity, such as a region, city, or country.
  • D. hasHarborFeature chosen
    Indicates that something possesses or includes a specific harbor-related characteristic, structure, or facility.
  • E. hasHarbourEntrance
    Indicates that an entity serves as the entrance or access point to a harbour for another entity.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06479acec819090306a155a03b774 completed March 22, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69c060e311b48190b1c74a5cf9435623 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:28 p.m.