Triple

T37903931
Position Surface form Disambiguated ID Type / Status
Subject Spanish Faroe Islands E945493 entity
Predicate hasTerrainInSetting P189727 FINISHED
Object rocky cliffs 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: rocky cliffs | Statement: [Spanish Faroe Islands, hasTerrainInSetting, rocky cliffs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTerrainInSetting
Context triple: [Spanish Faroe Islands, hasTerrainInSetting, rocky cliffs]
  • A. hasTerrainFor
    Indicates that a location or area possesses terrain suitable or designated for a particular use, activity, or feature.
  • B. hasTerrainCharacter
    Indicates that one entity possesses or exhibits a particular terrain-related feature or characteristic in relation to another entity.
  • C. hasAdvancedTerrain
    Indicates that an entity possesses or is associated with terrain featuring complex, challenging, or enhanced physical characteristics beyond standard ground conditions.
  • D. hasIntermediateTerrain
    Indicates that something is situated on or characterized by terrain of medium or moderate difficulty or ruggedness, between easy/flat and difficult/extreme terrain.
  • E. hasGeneralTerrain chosen
    Indicates that an entity is characterized by or associated with a particular overall type of terrain.
  • 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_69f76ef20bb0819088b5b6ceecb0b8fc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fec5c503808190bde0b1829ea43071 completed May 9, 2026, 5:27 a.m.
PD Predicate disambiguation batch_69fec535dd6c8190a6ab85201f5a04a9 completed May 9, 2026, 5:25 a.m.
Created at: May 3, 2026, 4:20 p.m.