Triple

T23269114
Position Surface form Disambiguated ID Type / Status
Subject Qasr el-Ghueita E588239 entity
Predicate hasStateOfPreservation 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: [Qasr el-Ghueita, hasStateOfPreservation, well-preserved]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStateOfPreservation
Context triple: [Qasr el-Ghueita, hasStateOfPreservation, well-preserved]
  • A. stateOfPreservation chosen
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • B. hasSubjectOfPreservation
    Indicates that something is the specific focus or object being preserved or conserved within a preservation relationship.
  • C. hasPreservationConditions
    Indicates the specific environmental or handling conditions required to properly preserve or maintain an entity.
  • D. hasPreservationNeed
    Indicates that an entity requires specific actions or conditions to be maintained in order to prevent its deterioration or loss.
  • E. preservationType
    Indicates the method or process by which something is preserved or kept from deterioration.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957219188190b30bceffad1542da completed April 29, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69effcecabd88190856fb6e1d993e4dd completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:45 p.m.