Triple

T9665911
Position Surface form Disambiguated ID Type / Status
Subject Ode to Psyche E233702 entity
Predicate hasApproximateLineCount P89489 FINISHED
Object about 67 lines — 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: about 67 lines | Statement: [Ode to Psyche, hasApproximateLineCount, about 67 lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateLineCount
Context triple: [Ode to Psyche, hasApproximateLineCount, about 67 lines]
  • A. hasApproximateNumberOfColumns
    Indicates that an entity is associated with an estimated or non-exact count of columns.
  • B. hasApproximateBrickCount
    Indicates that an entity is associated with an estimated or non-exact number of bricks.
  • C. hasApproximateEntryCount
    Indicates that an entity is associated with a number representing an estimated or non-exact count of its entries.
  • D. hasApproximateMemberCount
    Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
  • E. hasPageCountApprox
    Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c38f65c8190a0ed20830249a0f1 completed April 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
PDg Predicate description generation batch_69ccd9408c848190b84dd74d87f76273 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:14 p.m.