Triple

T15014738
Position Surface form Disambiguated ID Type / Status
Subject Branchiostoma E377928 entity
Predicate muscleType P19589 FINISHED
Object myomeres 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: myomeres | Statement: [Branchiostoma, muscleType, myomeres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: muscleType
Context triple: [Branchiostoma, muscleType, myomeres]
  • A. musculature chosen
    Indicates the relationship between an entity and the structure, development, or characteristics of its muscles.
  • B. limbType
    Indicates the specific kind or category of limb associated with an entity (e.g., arm, leg, wing, fin).
  • C. strengthType
    Indicates the specific category or nature of strength associated with an entity or relationship (e.g., physical, structural, or conceptual strength).
  • D. anatomicalType
    Indicates that one entity is classified as a specific anatomical category or kind of anatomical structure in relation to another.
  • E. residesOverBodyType
    Indicates that one entity is positioned or located above another entity that is characterized by a specific body type.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
PD Predicate disambiguation batch_69de9a6531a88190acde65199a477350 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:55 a.m.