Triple

T23224526
Position Surface form Disambiguated ID Type / Status
Subject Sirsukh E580978 entity
Predicate countryUNESCOId P14109 FINISHED
Object PK 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: PK | Statement: [Sirsukh, countryUNESCOId, PK]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryUNESCOId
Context triple: [Sirsukh, countryUNESCOId, PK]
  • A. countryOfUNESCOProperty chosen
    Indicates the country that has jurisdiction over or is officially associated with a given UNESCO property.
  • B. UNESCODesignationBy
    Indicates that an entity has been designated or recognized with a specific UNESCO status by a particular UNESCO body or authority.
  • C. UNESCOWorldHeritageSiteId
    Indicates that an entity is identified as a UNESCO World Heritage Site by a specific UNESCO World Heritage Site identifier.
  • D. UNESCOListStatus
    Indicates that an entity has a specific recognition or classification status in relation to an official UNESCO list.
  • E. inscriptionNumberUNESCO
    Indicates the unique identification number assigned to an item by UNESCO upon its official inscription or listing.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922d30b08190a3c54bab58f5c8e7 completed April 29, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69effcccee508190a7ae311fdd319806 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:08 p.m.