Triple

T25870339
Position Surface form Disambiguated ID Type / Status
Subject Laughing Water E651734 entity
Predicate hasNotableLocationAssociation P185930 FINISHED
Object Minnehaha Regional Park NE NERFINISHED

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: Minnehaha Regional Park | Statement: [Laughing Water, hasNotableLocationAssociation, Minnehaha Regional Park]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableLocationAssociation
Context triple: [Laughing Water, hasNotableLocationAssociation, Minnehaha Regional Park]
  • A. hasLocationRole
    Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
  • B. hasNearbyNotablePersonAssociation
    Indicates a relationship where an entity is associated with a notable person who is located nearby or in close geographic proximity.
  • C. hasNotableHistoricalAssociation
    Indicates that there is a significant connection between an entity and an important historical event, figure, period, or development.
  • D. notLocatedAt
    Indicates that an entity is explicitly not situated, present, or found at a specified location.
  • E. hasNotableAffiliation
    Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
  • F. None of above. chosen

Provenance (4 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_69e7ab3ad9d88190841ddcb93ab02e96 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f7c83f5960819089610ed39c839678 completed May 3, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69f7c475c58c8190a883554231e88c88 completed May 3, 2026, 9:56 p.m.
PDg Predicate description generation batch_69f7c776b4088190bef550c869da530d completed May 3, 2026, 10:08 p.m.
Created at: April 22, 2026, 8:11 a.m.