Triple

T9432242
Position Surface form Disambiguated ID Type / Status
Subject Rampur, Middle Andaman E227408 entity
Predicate hasTimezone P3413 FINISHED
Object Indian Standard Time E5066 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: Indian Standard Time | Statement: [Rampur, Middle Andaman, hasTimezone, Indian Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indian Standard Time
Context triple: [Rampur, Middle Andaman, hasTimezone, Indian Standard Time]
  • A. Indian Standard Time chosen
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • B. Bangladesh Standard Time
    Bangladesh Standard Time is the time zone used in Bangladesh, corresponding to UTC+6 hours with no daylight saving time.
  • C. Indian Ocean Time
    Indian Ocean Time is a time zone used by several territories in the Indian Ocean region, including islands and coastal areas.
  • D. Pakistan Standard Time
    Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
  • E. Sri Lanka Standard Time
    Sri Lanka Standard Time is the time zone used throughout Sri Lanka, set at UTC+5:30.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e6059bc8190a7e98aef3caabd0b completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104033c08190a3670b017bd984d5 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.