Triple

T10534540
Position Surface form Disambiguated ID Type / Status
Subject Structure II E248528 entity
Predicate likelyPrimaryUse P75472 FINISHED
Object royal residential and administrative complex 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: royal residential and administrative complex | Statement: [Structure II, likelyPrimaryUse, royal residential and administrative complex]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: likelyPrimaryUse
Context triple: [Structure II, likelyPrimaryUse, royal residential and administrative complex]
  • A. formerPrimaryUse
    Indicates that something was previously used as the main or principal function or purpose of an entity, but is no longer its current primary use.
  • B. usedPrimarilyIn
    Indicates that something is mainly or most commonly employed within a particular context, domain, or purpose.
  • C. primarilyUsedBy
    Indicates that something is mainly or most commonly used by a particular entity or group.
  • D. laterPrimarilyUsedFor
    Indicates that something was initially used for one purpose but, at a later time, came to be used mainly for another specified purpose.
  • E. originalPrimaryUse chosen
    Indicates that something was first or chiefly intended to be used for a particular purpose or function.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a1a754c8190b53f2df28a1dfef1 completed April 7, 2026, 1:43 p.m.
PD Predicate disambiguation batch_69d4fb9729288190a0149f127acd7ae3 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:31 p.m.