Triple

T6445147
Position Surface form Disambiguated ID Type / Status
Subject Gletsch E138322 entity
Predicate nearbyCanton P20873 FINISHED
Object Uri E256636 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: Uri | Statement: [Gletsch, nearbyCanton, Uri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uri
Context triple: [Gletsch, nearbyCanton, Uri]
  • A. Uri chosen
    Uri is a historic Swiss canton in central Switzerland, known as one of the founding members of the Swiss Confederation.
  • B. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • C. RFC 3986
    RFC 3986 is the Internet standard that defines the syntax and semantics of Uniform Resource Identifiers (URIs), superseding earlier URI specifications.
  • D. URL Standard
    The URL Standard is a technical specification by the WHATWG that defines how URLs are parsed, processed, and handled consistently across web browsers and platforms.
  • E. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyCanton
Context triple: [Gletsch, nearbyCanton, Uri]
  • A. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • B. administrativeCentreNearby
    Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
  • C. nearbyLocation
    Indicates that one location is situated close to another location in physical space.
  • D. nearbyTo
    Indicates that one entity is located close in distance or position to another entity.
  • E. nearbyState chosen
    Indicates that one state is geographically adjacent to or in close proximity to another state.
  • F. None of above.

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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698d866c81909ef3e0a53833ff7d completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bca1e3c81909c50177286b92ce5 completed March 27, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69c060faaf248190bbdc8ff909c8777a completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:46 p.m.