Triple

T13092062
Position Surface form Disambiguated ID Type / Status
Subject Mind, Volume 59, Issue 236 E310484 entity
Predicate hasLandmarkStatusIn P107999 FINISHED
Object history of artificial intelligence 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: history of artificial intelligence | Statement: [Mind, Volume 59, Issue 236, hasLandmarkStatusIn, history of artificial intelligence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandmarkStatusIn
Context triple: [Mind, Volume 59, Issue 236, hasLandmarkStatusIn, history of artificial intelligence]
  • A. hasLandmarkProperty
    Indicates that something possesses a notable or defining landmark-related characteristic or feature.
  • B. hasLandmarkUnderManagement
    Indicates that an entity is responsible for managing or overseeing a particular landmark.
  • C. hasLandStatus
    Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
  • D. isLandmarkFor
    Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
  • E. isLandmarkResultIn
    Indicates that something serves as a landmark within, or as a result associated with, a particular context, area, or entity.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69d9803f6c508190bfadfbc2d00c2c64 completed April 10, 2026, 10:57 p.m.
PDg Predicate description generation batch_69d98114a6508190b1e8e018bb5a068c completed April 10, 2026, 11 p.m.
Created at: April 9, 2026, 9:03 p.m.