Triple

T24915274
Position Surface form Disambiguated ID Type / Status
Subject Kissing Point E623965 entity
Predicate hasCurrentNameUsage P130354 FINISHED
Object Kissing Point Park
Kissing Point Park is a coastal public park in Townsville, Queensland, known for its scenic waterfront views, military history, and recreational facilities.
 E1657056 NE FINISHED

How this triple was built (3 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: Kissing Point Park | Statement: [Kissing Point, hasCurrentNameUsage, Kissing Point Park]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kissing Point Park
Triple: [Kissing Point, hasCurrentNameUsage, Kissing Point Park]
Generated description
Kissing Point Park is a coastal public park in Townsville, Queensland, known for its scenic waterfront views, military history, and recreational facilities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCurrentNameUsage
Context triple: [Kissing Point, hasCurrentNameUsage, Kissing Point Park]
  • A. hasGivenNameUsage
    Indicates that an entity is associated with a particular way or context in which its given name is used.
  • B. hasCurrentNameContext chosen
    Indicates that an entity is associated with the name it currently uses or is recognized by in the present context.
  • C. currentNameUsedFrom
    Indicates that an entity’s currently used name has been in effect starting from a specified point in time or source.
  • D. nameUsedBy
    Indicates that a particular name is employed or referenced by a specific entity.
  • E. hasFullNameUsage
    Indicates that an entity uses a particular full name in a specific context or manner.
  • F. None of above.

Provenance (6 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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f65aa07c048190a5df30d53d8f0cf5 completed May 2, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10332e5ae481908d0a2236eb137716 completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a1033edb6848190b35070d8784af90e completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103487a09c81908960296ff597228f completed May 22, 2026, 10:48 a.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
Created at: April 18, 2026, 5:28 a.m.