Triple

T3647423
Position Surface form Disambiguated ID Type / Status
Subject Kandos E77333 entity
Predicate hasMuseumFocus P18644 FINISHED
Object cement industry history 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: cement industry history | Statement: [Kandos, hasMuseumFocus, cement industry history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMuseumFocus
Context triple: [Kandos, hasMuseumFocus, cement industry history]
  • A. hasMuseumFunction
    Indicates that an entity serves the role or performs the function of a museum.
  • B. hasMuseumAt
    Indicates that a museum is located at or exists in a specified place or location.
  • C. museumFocus chosen
    Indicates that a museum is primarily dedicated to or specializes in a particular subject, theme, or type of collection.
  • D. hasMuseumType
    Indicates that an entity is classified as a museum of a specific type or category.
  • E. hasMuseumName
    Indicates that an entity (typically a museum) is associated with a specific name or title.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38aa2388190bf1af926375e2433 completed March 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69adb8445b2c8190ab07f6ad4e010d0e completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.