Triple

T15957846
Position Surface form Disambiguated ID Type / Status
Subject Asia/Hebron E386980 entity
Predicate timeZoneContinent P103460 FINISHED
Object Asia E2127 NE FINISHED

How this triple was built (3 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: Asia | Statement: [Asia/Hebron, timeZoneContinent, Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia
Context triple: [Asia/Hebron, timeZoneContinent, Asia]
  • A. Asia
    Asia is a figure in Greek mythology, often considered an Oceanid nymph associated with the region that later bore her name.
  • B. Asia
    Asia is a figure in Greek mythology, often considered one of the Oceanids and associated with the region that later bore her name.
  • C. Asia
    Asia is a British rock supergroup formed in the early 1980s, known for its melodic progressive rock sound and hits like "Heat of the Moment."
  • D. Asia chosen
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • E. Asianet
    Asianet is a leading Malayalam-language television channel and entertainment network widely watched in the Indian state of Kerala and among the Malayali diaspora.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeZoneContinent
Context triple: [Asia/Hebron, timeZoneContinent, Asia]
  • A. timeZoneRegionType
    Indicates the classification of a time zone based on the type of geographic or administrative region it is associated with.
  • B. timeZoneRegionOf
    Indicates that a time zone is the official or primary time zone used within a specified geographic region.
  • C. timeZoneArea chosen
    Indicates the geographic area or region for which a particular time zone is defined or applicable.
  • D. timeZoneEndpoint
    Indicates a connection or boundary point where a specific time zone applies or is defined.
  • E. timeZoneType
    Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
  • F. None of above.

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e173b3bf6c81909230170e833d7ce7 completed April 16, 2026, 11:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b8fe488190b9155100c647a948 completed May 9, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69e142d6fb588190b4176eab4bbae774 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:53 a.m.