Triple

T1287486
Position Surface form Disambiguated ID Type / Status
Subject baiji E27467 entity
Predicate snout P20675 FINISHED
Object long narrow beak 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: long narrow beak | Statement: [baiji, snout, long narrow beak]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: snout
Context triple: [baiji, snout, long narrow beak]
  • A. mouth
    Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
  • B. noseType chosen
    Indicates the specific shape or classification of a nose that an entity possesses.
  • C. mouthOf
    Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
  • D. mouthNear
    Indicates that one entity’s mouth is positioned close to another entity or object in space.
  • E. hasBeak
    Indicates that an entity possesses a beak as a physical anatomical feature.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d1a5508190b4461df77f560df4 completed March 1, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69a4bee41ca08190b0ad6f7ea40c0b62 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.