Triple

T3016954
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Governor of Guernsey E82358 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Sark E29748 NE 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: Sark | Statement: [Lieutenant Governor of Guernsey, appliesToJurisdiction, Sark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sark
Context triple: [Lieutenant Governor of Guernsey, appliesToJurisdiction, Sark]
  • A. Sark chosen
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • B. Sinarka
    Sinarka is an active stratovolcano located on Shiashkotan Island in the central Kuril Islands chain of Russia.
  • C. SARCO
    SARCO is the SAARC Arbitration Council, a regional institution that facilitates the settlement of commercial and investment disputes among member states of the South Asian Association for Regional Cooperation.
  • D. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • E. Sakakah
    Sakakah is a city in northwestern Saudi Arabia that serves as the administrative and economic center of the Al Jawf Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a6c56708190b7d8d08bca727cc1 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6eac1481909d56844e53c37b59 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.