Triple

T8552909
Position Surface form Disambiguated ID Type / Status
Subject Sài Đồng E202487 entity
Predicate locatedInTimeZone P109 FINISHED
Object Indochina Time E61477 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: Indochina Time | Statement: [Sài Đồng, locatedInTimeZone, Indochina Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indochina Time
Context triple: [Sài Đồng, locatedInTimeZone, Indochina Time]
  • A. Indochina Time chosen
    Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
  • B. Myanmar Standard Time
    Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
  • C. Philippine Standard Time
    Philippine Standard Time is the official time zone of the Philippines, observed as UTC+8 without daylight saving time.
  • D. Central Indonesia Time
    Central Indonesia Time is one of Indonesia’s standard time zones, set at UTC+8 and used by regions including Sulawesi, Bali, and parts of Kalimantan and Nusa Tenggara.
  • E. Sakhalin Time
    Sakhalin Time is the time zone used on Russia’s Sakhalin Island, corresponding to UTC+11 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8882704819094b688d46169433a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d9d06e48190a5c0cfa9779fc07c completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:19 p.m.