Triple

T14930897
Position Surface form Disambiguated ID Type / Status
Subject Apache License 1.0 E372260 entity
Predicate includesLiabilityLimitation P99 FINISHED
Object yes 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: yes | Statement: [Apache License 1.0, includesLiabilityLimitation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesLiabilityLimitation
Context triple: [Apache License 1.0, includesLiabilityLimitation, yes]
  • A. carrierLiabilityLimitBasis
    Indicates the basis or standard used to determine the maximum liability amount a carrier is responsible for in case of loss, damage, or claim.
  • B. hasLimitation chosen
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • C. liabilityType
    Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
  • D. statutoryLimitPerIncidentUSD
    Indicates the maximum monetary amount, in U.S. dollars, that is legally allowed to be claimed or paid for a single incident under a specific statute or regulation.
  • E. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69de9a52ba988190a26e268b4ea083ea completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:36 a.m.