Triple

T9777412
Position Surface form Disambiguated ID Type / Status
Subject Maia E237282 entity
Predicate canTakeForm P90593 FINISHED
Object visible bodily form — 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: visible bodily form | Statement: [Maia, canTakeForm, visible bodily form]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canTakeForm
Context triple: [Maia, canTakeForm, visible bodily form]
  • A. mayForm
    Indicates that one entity has the potential or permission to be combined or configured to create, constitute, or result in another entity or structure.
  • B. canMake
    Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
  • C. isFormedFor
    Indicates that something is created, established, or brought into existence for a particular purpose, function, or beneficiary.
  • D. usesForm
    Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
  • E. canPass
    Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda133ef548190aaecdf49de9c5aa8 completed April 1, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69cd03d3b68c81909e570401a891b9f2 completed April 1, 2026, 11:38 a.m.
PDg Predicate description generation batch_69cd06aa8bc88190904be19c8953def8 completed April 1, 2026, 11:51 a.m.
Created at: March 30, 2026, 8:26 p.m.