Triple

T8366162
Position Surface form Disambiguated ID Type / Status
Subject Sassoun E197130 entity
Predicate presentDayProvince P31240 FINISHED
Object Batman Province E340428 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: Batman Province | Statement: [Sassoun, presentDayProvince, Batman Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batman Province
Context triple: [Sassoun, presentDayProvince, Batman Province]
  • A. Batman Province chosen
    Batman Province is a region in southeastern Turkey known for its oil production, Kurdish-majority population, and the city of Batman as its administrative center.
  • B. Victoria Province
    Victoria Province was the colonial-era name for what is now Masvingo Province in southeastern Zimbabwe.
  • C. Florida Province
    Florida Province is an administrative subdivision within Bolivia’s Santa Cruz Department, known for its rural communities and agricultural activities.
  • D. New Brunswick, Canada
    New Brunswick, Canada is a maritime province on the Atlantic coast known for its bilingual English-French culture, extensive forests, and the Bay of Fundy’s dramatic tides.
  • E. Further Province
    Further Province was a former administrative subdivision associated with the region of Pylos in Greece.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808cf80c8190941c3cc0248a5df2 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc78c0c208190ba590c74512a4043 completed April 2, 2026, 1:34 a.m.
Created at: March 30, 2026, 6 p.m.