Triple

T7177417
Position Surface form Disambiguated ID Type / Status
Subject Thai Binh Province E167354 entity
Predicate timeZone 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: [Thai Binh Province, timeZone, Indochina Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indochina Time
Context triple: [Thai Binh Province, timeZone, 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e89022d48190a112c24df79ab62f completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b92f3d748190ab2a3694420b5724 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.