Triple

T3929300
Position Surface form Disambiguated ID Type / Status
Subject Proto-Numic E93355 entity
Predicate hasReconstructionLevel P51742 FINISHED
Object phonological 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: phonological | Statement: [Proto-Numic, hasReconstructionLevel, phonological]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReconstructionLevel
Context triple: [Proto-Numic, hasReconstructionLevel, phonological]
  • A. hasReconstructionStandard
    Indicates that something is associated with or governed by a specific standard or guideline for how it should be reconstructed.
  • B. hasAnimatedReconstruction
    Indicates that an entity is associated with an animated reconstruction depicting it or one of its states or events.
  • C. hasReconstructionWork
    Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
  • D. haveReconstructionWork
    Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
  • E. hasReconstructedSite
    Indicates that an entity has a site or location that has been rebuilt or restored after damage, destruction, or alteration.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda65b708190b24cd715915aec1d completed March 9, 2026, 3:56 p.m.
PD Predicate disambiguation batch_69aee7609c4081908000ce12ae827c3f completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeeb5f859c819095b61f5ba8eace4f completed March 9, 2026, 3:46 p.m.
Created at: March 9, 2026, 3:23 p.m.