Triple

T2885606
Position Surface form Disambiguated ID Type / Status
Subject Bukhara E59496 entity
Predicate silkRoadFunction P35626 FINISHED
Object major commercial and cultural center 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: major commercial and cultural center | Statement: [Bukhara, silkRoadFunction, major commercial and cultural center]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: silkRoadFunction
Context triple: [Bukhara, silkRoadFunction, major commercial and cultural center]
  • A. protocolFunction
    Indicates that one entity serves as a function, role, or operation defined within the rules or structure of a particular protocol for another entity.
  • B. includesTradeRoute chosen
    Indicates that one entity contains, encompasses, or makes use of a particular trade route within its scope or structure.
  • C. providesFunctionalityOf
    Indicates that one entity supplies, implements, or makes available the capabilities or functions that are normally associated with another entity.
  • D. routeVia
    Indicates that a connection, path, or communication between two points is established or carried out through an intermediate location, node, or channel.
  • E. shippingFunction
    Indicates the method or process by which goods are transported or delivered from a sender to a recipient.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04476588190b0db0880e14c79b5 completed March 7, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69abdd15cbf08190bf7fea5ea516848a completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:03 p.m.