Triple

T30584186
Position Surface form Disambiguated ID Type / Status
Subject Kakusandha Buddha E778459 entity
Predicate heightTraditional P170245 FINISHED
Object 40 cubits 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: 40 cubits | Statement: [Kakusandha Buddha, heightTraditional, 40 cubits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: heightTraditional
Context triple: [Kakusandha Buddha, heightTraditional, 40 cubits]
  • A. heightDescription
    Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
  • B. heightReference
    Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
  • C. heightClass
    Indicates the categorical height level or range to which an entity is assigned (e.g., short, medium, tall).
  • D. heightOptions
    Indicates the available or specified height choices associated with an entity or configuration.
  • E. heightContext
    Indicates a contextual or situational relationship that specifies how an entity’s height is defined, measured, or interpreted in a particular setting or frame of reference.
  • 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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68b121eac81909e90416207bc1157 completed May 2, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69f6860def1c81909d79e1f088c4b5e5 completed May 2, 2026, 11:17 p.m.
PDg Predicate description generation batch_69f68a160374819084d720985f800dfc completed May 2, 2026, 11:34 p.m.
Created at: April 29, 2026, 8:23 p.m.