Triple

T9964821
Position Surface form Disambiguated ID Type / Status
Subject Lighthouse of Cape St. Vincent E195654 entity
Predicate locatedAtExtremePoint P27245 FINISHED
Object one of the southwesternmost points of Europe 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: one of the southwesternmost points of Europe | Statement: [Lighthouse of Cape St. Vincent, locatedAtExtremePoint, one of the southwesternmost points of Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedAtExtremePoint
Context triple: [Lighthouse of Cape St. Vincent, locatedAtExtremePoint, one of the southwesternmost points of Europe]
  • A. locatedAtTipOf chosen
    Indicates that one entity is positioned at the extreme end or tip of another entity.
  • B. locatedAtCornerOf
    Indicates that one entity is positioned at or forms the corner where two or more boundaries, edges, or intersecting paths meet.
  • C. locatedAtPoleRegion
    Indicates that an entity is situated within a polar region of a planetary body, such as its north or south pole area.
  • D. locatedAtNorthernEndOf
    Indicates that one entity is situated at or near the northernmost part or extremity of another entity.
  • E. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71c38488190a6f3cda11994f6a2 completed April 2, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:47 p.m.