Triple

T10618202
Position Surface form Disambiguated ID Type / Status
Subject Kharia E295177 entity
Predicate hasInclusiveExclusiveDistinction P95001 FINISHED
Object true 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: true | Statement: [Kharia, hasInclusiveExclusiveDistinction, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInclusiveExclusiveDistinction
Context triple: [Kharia, hasInclusiveExclusiveDistinction, true]
  • A. isDistinguishedBy
    Indicates that one entity is characterized or set apart from others by a particular feature, quality, or attribute.
  • B. isDistinctFrom
    Indicates that two entities are not identical and can be clearly distinguished from one another.
  • C. hasRegisterDistinction
    Indicates that there is a meaningful difference in language register (e.g., formality or style) between the related linguistic forms or usages.
  • D. exclusiveTo
    Indicates that something is restricted or limited to a specific entity, group, or context and not shared with others.
  • E. hasDistinctFeature
    Indicates that an entity possesses a specific characteristic or attribute that differentiates it from others.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7a223c8190854409d76368f3e8 completed April 8, 2026, 10:58 p.m.
PDg Predicate description generation batch_69d6df463ea8819091d6683e476b4f21 completed April 8, 2026, 11:05 p.m.
Created at: April 8, 2026, 8:19 p.m.