Triple

T8550693
Position Surface form Disambiguated ID Type / Status
Subject Sri Lankan Tamil cinema E202435 entity
Predicate historicalConstraints P83274 FINISHED
Object civil war conditions LITERAL 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: civil war conditions | Statement: [Sri Lankan Tamil cinema, historicalConstraints, civil war conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalConstraints
Context triple: [Sri Lankan Tamil cinema, historicalConstraints, civil war conditions]
  • A. historicalCondition
    Indicates that one entity represents a condition, state, or circumstance that applied to another entity at some point in the past.
  • B. historicalExistence
    Indicates that an entity actually existed at some point in real-world history, as opposed to being fictional, hypothetical, or mythological.
  • C. historicalPass
    Indicates that an entity has successfully completed or passed a historical event, period, or examination related to history.
  • D. historicallyGuardedBy
    Indicates that an entity was protected or defended by another entity during a past historical period.
  • E. historicalType
    Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
  • F. None of above. chosen

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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe75589d8819096177ddbd3dafcb6 completed March 31, 2026, 3:25 p.m.
PD Predicate disambiguation batch_69cbd113e05c81908f4f3fc1b5925164 completed March 31, 2026, 1:50 p.m.
PDg Predicate description generation batch_69cbe30d453481908f897ed2b06e7534 completed March 31, 2026, 3:06 p.m.
Created at: March 30, 2026, 6:19 p.m.