Triple

T324187
Position Surface form Disambiguated ID Type / Status
Subject Quotations from Chairman Mao Tse-tung E6476 entity
Predicate physicalCharacteristic P311 FINISHED
Object small pocket-sized format 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: small pocket-sized format | Statement: [Quotations from Chairman Mao Tse-tung, physicalCharacteristic, small pocket-sized format]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: physicalCharacteristic
Context triple: [Quotations from Chairman Mao Tse-tung, physicalCharacteristic, small pocket-sized format]
  • A. characterizedBy
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • B. appearance chosen
    Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
  • C. reproductiveFeature
    Indicates a relationship where an entity possesses or is characterized by a particular reproductive trait, structure, or capability.
  • D. skinCharacteristic
    Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
  • E. faunaCharacteristic
    Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1a37c08190b1380f6bf8513a37 completed Feb. 28, 2026, 1:18 p.m.
PD Predicate disambiguation batch_69a2e949364c8190bc2351f5413f5057 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.