Triple

T22242821
Position Surface form Disambiguated ID Type / Status
Subject Banjar Hot Springs E549763 entity
Predicate hasPoolDepth P134771 FINISHED
Object shallow pools suitable for sitting 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: shallow pools suitable for sitting | Statement: [Banjar Hot Springs, hasPoolDepth, shallow pools suitable for sitting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoolDepth
Context triple: [Banjar Hot Springs, hasPoolDepth, shallow pools suitable for sitting]
  • A. poolDepth chosen
    Indicates the depth measurement of a pool at a specified location or overall.
  • B. hasPoolLength
    Indicates that an entity (such as a pool) has a specific measured length.
  • C. hasPool
    Indicates that one entity possesses, includes, or is equipped with a swimming pool.
  • D. hasChannelDepth
    Indicates that one entity specifies or records the depth measurement of a channel associated with another entity.
  • E. hasPortDepth
    Indicates that a port possesses a specific water depth suitable for accommodating vessels.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132150a3c81908eba0683819e26d0 completed April 28, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69e72fe1e0cc8190bd13cff2a0846225 completed April 21, 2026, 8:05 a.m.
Created at: April 16, 2026, 8:38 p.m.