Triple

T27270310
Position Surface form Disambiguated ID Type / Status
Subject Takua Pa E688030 entity
Predicate architecturePreservationStatus P9592 FINISHED
Object well-preserved 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: well-preserved | Statement: [Takua Pa, architecturePreservationStatus, well-preserved]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: architecturePreservationStatus
Context triple: [Takua Pa, architecturePreservationStatus, well-preserved]
  • A. heritageStatus
    Indicates that an entity holds a particular cultural, historical, or natural heritage designation or protection status.
  • B. monumentStatus
    Indicates the official designation or condition of an entity as a monument, such as whether it is recognized, protected, or classified under heritage or preservation status.
  • C. stateOfPreservation chosen
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • D. notableStructureStatus
    Indicates the status or condition of a structure that is considered notable or significant.
  • E. cityHeritageStatus
    Indicates that a city holds a specific heritage designation or status, such as being recognized for its historical, cultural, or architectural significance.
  • 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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 27, 2026, 10:58 a.m.