Triple

T7783179
Position Surface form Disambiguated ID Type / Status
Subject canton of Fribourg E187173 entity
Predicate containsRegion P285 FINISHED
Object Sarine (district) E241799 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: Sarine (district) | Statement: [canton of Fribourg, containsRegion, Sarine (district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarine (district)
Context triple: [canton of Fribourg, containsRegion, Sarine (district)]
  • A. Sarine district chosen
    Sarine district is an administrative district in the canton of Fribourg in western Switzerland, centered around the city of Fribourg and encompassing surrounding municipalities.
  • B. Saran district
    Saran district is an administrative district in the Indian state of Bihar, known for its historical significance and location along the Ganges and Ghaghara rivers.
  • C. Gizab District
    Gizab District is an administrative district located within Daykundi Province in central Afghanistan.
  • D. Gizab District
    Gizab District is an administrative district located within Uruzgan Province in central Afghanistan, known for its mountainous terrain and history of conflict.
  • E. Baran district
    Baran district is an administrative district in the state of Rajasthan, India, known for its rural landscape, historical sites, and cultural heritage.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf1f9c648190ac2b06d0d54035ea completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5e400d881909d6cdeb7eaac3a59 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:22 p.m.