Triple

T798154
Position Surface form Disambiguated ID Type / Status
Subject J train E17066 entity
Predicate mapDesignation P19168 FINISHED
Object J 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: J | Statement: [J train, mapDesignation, J]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mapDesignation
Context triple: [J train, mapDesignation, J]
  • A. cityPlanningDesignation
    Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
  • B. territorialDesignation
    Indicates that an entity is assigned, defined, or recognized in terms of a specific geographic or territorial area.
  • C. hasNatureDesignation
    Indicates that something has been formally assigned a specific conservation, protection, or natural-area status or designation.
  • D. heritageDesignation
    Indicates that an entity has been formally assigned a specific cultural, historical, or heritage protection status by an authority.
  • E. traditionalTerritorialDesignation
    Indicates a historically or culturally recognized claim or assignment of a geographic area to a particular group, authority, or identity.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b4d9548190aad5fdf1211cf8cd completed March 1, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69a4a5122a008190b0c621b7bc588d41 completed March 1, 2026, 8:44 p.m.
PDg Predicate description generation batch_69a4a5bed20c81909ecc28bf42594e72 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:38 p.m.