Triple

T9322152
Position Surface form Disambiguated ID Type / Status
Subject Manila–Toronto E224293 entity
Predicate timeZoneOrigin P11952 FINISHED
Object Philippine 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 Time | Statement: [Manila–Toronto, timeZoneOrigin, Philippine Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine Time
Context triple: [Manila–Toronto, timeZoneOrigin, Philippine Time]
  • A. Philippine Standard Time chosen
    Philippine Standard Time is the official time zone of the Philippines, observed as UTC+8 without daylight saving time.
  • B. Malaysia Time
    Malaysia Time is the standard time zone used throughout Malaysia, set eight hours ahead of Coordinated Universal Time (UTC+8).
  • C. Chamorro Standard Time
    Chamorro Standard Time is the time zone used in Guam and the Northern Mariana Islands, corresponding to UTC+10:00.
  • D. Indochina Time
    Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
  • E. Timor Leste Time
    Timor Leste Time is the standard time zone used in East Timor, corresponding to UTC+9 hours.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f2bd288190bb1556a88d9e90f3 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3b5c6488190b2ca4fd546dda82f completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:38 p.m.