Triple

T37030328
Position Surface form Disambiguated ID Type / Status
Subject Takkaze E916471 entity
Predicate hasCanyonDepthCharacteristic P201372 FINISHED
Object very deep gorges 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: very deep gorges | Statement: [Takkaze, hasCanyonDepthCharacteristic, very deep gorges]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCanyonDepthCharacteristic
Context triple: [Takkaze, hasCanyonDepthCharacteristic, very deep gorges]
  • A. hasCanyonDepthRank
    Indicates the relative position of a canyon in an ordered ranking based on its depth.
  • B. hasCanyonSetting
    Indicates that something is situated in, characterized by, or taking place within a canyon environment.
  • C. isInCanyon
    Indicates that an entity is located within the geographical bounds of a canyon.
  • D. hasCanyonType
    Indicates that an entity is characterized by, or classified as having, a specific type or category of canyon.
  • E. containsCanyon
    Indicates that one geographic or spatial entity includes a canyon within its boundaries or extent.
  • 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_69f76e92c7648190bcfa277f64c71a21 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ffed8912488190baa05f572e5b1b89 completed May 10, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69ffed12a76c8190ad85c6ac869c72e9 completed May 10, 2026, 2:27 a.m.
PDg Predicate description generation batch_69ffed884b908190b12422c790b1525e completed May 10, 2026, 2:29 a.m.
Created at: May 3, 2026, 4:14 p.m.