Triple

T14584571
Position Surface form Disambiguated ID Type / Status
Subject Sri Lankan Tamils E342280 entity
Predicate historicalGrievance P59102 FINISHED
Object language policy discrimination 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: language policy discrimination | Statement: [Sri Lankan Tamils, historicalGrievance, language policy discrimination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalGrievance
Context triple: [Sri Lankan Tamils, historicalGrievance, language policy discrimination]
  • A. historicalIssue
    Indicates that one entity is a past or previously existing edition, version, or instance of another entity, typically within a chronological sequence.
  • B. historicallyImposed
    Indicates that one entity has enforced, established, or applied something upon another in the past, typically through authority, power, or institutional action.
  • C. historicalMinority chosen
    Indicates that an entity has been part of a group that has been numerically, politically, or socially subordinate within a society over a significant historical period.
  • D. historicallyOpposedBy
    Indicates that one entity has been the target of opposition, resistance, or antagonism from another entity over a historical period.
  • E. historical
    Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
  • F. None of above.

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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69de656a953481909a4645b004c40de7 completed April 14, 2026, 4:03 p.m.
Created at: April 10, 2026, 1:24 a.m.