Triple

T20193028
Position Surface form Disambiguated ID Type / Status
Subject Niantic E493017 entity
Predicate hasGameFeature P182 FINISHED
Object real-world map integration 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: real-world map integration | Statement: [Niantic, hasGameFeature, real-world map integration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGameFeature
Context triple: [Niantic, hasGameFeature, real-world map integration]
  • A. hasFeature chosen
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • B. hasFeatureStatus
    Indicates that an entity possesses a particular feature along with its current state or condition.
  • C. hasFeatureCode
    Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
  • D. hasGameSystem
    Indicates that an item, product, or context is associated with or supports a particular game system or rules framework.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad7270081908ed8513a8363e9b1 completed April 20, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69e55b11124c8190babacf2a0fe2d057 completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:37 p.m.