Triple

T27826361
Position Surface form Disambiguated ID Type / Status
Subject Rostral Columns with ship prows E702962 entity
Predicate isTwinStructure P96092 FINISHED
Object western rostral column 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: western rostral column | Statement: [Rostral Columns with ship prows, isTwinStructure, western rostral column]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTwinStructure
Context triple: [Rostral Columns with ship prows, isTwinStructure, western rostral column]
  • A. hasTwinStructureWith chosen
    Indicates that two entities share an identical or nearly identical structural form, typically as corresponding or mirrored counterparts.
  • B. isTwinWith
    Indicates that two entities are twins, sharing the same birth parents and being born at (or very near) the same time.
  • C. hasTwinCityStructure
    Indicates that one city has an officially recognized twin-city (sister-city) relationship structure with another city.
  • D. hasTwinSystemWith
    Indicates that two systems are twins, meaning they are closely paired or mirrored counterparts in structure, function, or configuration.
  • E. hasTwinFeature
    Indicates that two entities share an identical or nearly identical feature, characteristic, or component, as if they are twins in that respect.
  • 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_69ef840ad1e88190b5bff2d1ddec8700 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63b317e048190963989b732b25b91 completed May 2, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 5:52 p.m.