Triple

T29730370
Position Surface form Disambiguated ID Type / Status
Subject Qilu Lake E752302 entity
Predicate hasFisheryUse P56070 FINISHED
Object yes 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: yes | Statement: [Qilu Lake, hasFisheryUse, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFisheryUse
Context triple: [Qilu Lake, hasFisheryUse, yes]
  • A. containsFishery chosen
    Indicates that one entity includes, encompasses, or has within its area a fishery or fishing-related operation.
  • B. hasFishingSpecies
    Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
  • C. fisheryType
    Indicates the specific category or kind of fishery associated with an entity, such as its operational or regulatory classification.
  • D. hasShoreFishing
    Indicates that a location or body of water provides opportunities or facilities for fishing from the shore.
  • E. commercialFishingAllowed
    Indicates that engaging in commercial fishing activities is permitted in the specified area or context.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fdbaa226708190b8ed96e93aad38de completed May 8, 2026, 10:27 a.m.
PD Predicate disambiguation batch_69fdb58b07e48190837e00966de050d4 completed May 8, 2026, 10:06 a.m.
Created at: April 28, 2026, 7:41 p.m.