Triple

T35167718
Position Surface form Disambiguated ID Type / Status
Subject Alger Island Campground E1015449 entity
Predicate waterHookups P105704 FINISHED
Object no 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: no | Statement: [Alger Island Campground, waterHookups, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterHookups
Context triple: [Alger Island Campground, waterHookups, no]
  • A. waterFunction
    Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
  • B. waterInput
    Indicates that an entity receives or is supplied with water from another source or system.
  • C. hasWaterAvailability
    Indicates that an entity has access to or is supplied with a certain amount or level of water.
  • D. hasDrinkingWaterFacilities chosen
    Indicates that a place or facility provides access to safe drinking water sources or infrastructure for people to use.
  • E. waterContains
    Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
  • 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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
Created at: May 3, 2026, 4:02 p.m.