Triple

T37132637
Position Surface form Disambiguated ID Type / Status
Subject Cebu–Caticlan E919564 entity
Predicate operatedWithinTimeZone P109 FINISHED
Object Philippine Standard Time E90012 NE 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: Philippine Standard Time | Statement: [Cebu–Caticlan, operatedWithinTimeZone, Philippine Standard Time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatedWithinTimeZone
Context triple: [Cebu–Caticlan, operatedWithinTimeZone, Philippine Standard Time]
  • A. locatedInTimeZone chosen
    Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
  • B. isLocatedInTimeZoneRegion
    Indicates that one entity exists within or is associated with the temporal boundaries defined by a specific time zone region.
  • C. hasTimeZoneNote
    Indicates that there is an associated note or annotation providing additional information or clarification about a time zone.
  • D. timeZoneRequirement
    Indicates that a specific time zone or set of time zones is required or must be satisfied for the associated entity or activity.
  • E. partlyLocatedInTimeZone
    Indicates that an entity’s extent overlaps multiple time zones, with at least part of it falling within the specified time zone.
  • 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_69f76e9d13e48190a108f7fbf80ff375 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a02008fcf1c8190b5b6c285944c52e9 completed May 11, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f6a23b06c81909e1067166f0c9c0f completed June 27, 2026, 6:13 a.m.
PD Predicate disambiguation batch_6a01ffd3ba008190b6f026bd4e6b9a37 completed May 11, 2026, 4:12 p.m.
Created at: May 3, 2026, 4:15 p.m.