Triple

T25642140
Position Surface form Disambiguated ID Type / Status
Subject Stack Overflow E642862 entity
Predicate hasReputationSystem P180735 FINISHED
Object points-based 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: points-based | Statement: [Stack Overflow, hasReputationSystem, points-based]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReputationSystem
Context triple: [Stack Overflow, hasReputationSystem, points-based]
  • A. usesReputationSystem chosen
    Indicates that an entity employs a reputation-based mechanism to evaluate, rank, or make decisions about other entities or their actions.
  • B. haveReputation
    Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
  • C. hasInUniverseReputation
    Indicates that an entity holds a particular level or type of reputation within a specified fictional or conceptual universe.
  • D. hasAwardReputation
    Indicates that an entity is recognized or reputed for having received a particular award or set of awards.
  • E. hasViewReputation
    Indicates that an entity holds a reputation or recognized standing specifically related to viewing, observing, or accessing something.
  • 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_69e77e7ce28081908b08d65ee6e5c8be completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69fb6fdc7eb081908ab8475efb38c430 completed May 6, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69fb5a986e588190b7a10892bd2ff44c completed May 6, 2026, 3:13 p.m.
Created at: April 21, 2026, 5:45 p.m.