Triple

T14977574
Position Surface form Disambiguated ID Type / Status
Subject Sacramento Metropolitan Fire District E373491 entity
Predicate serviceArea P82 FINISHED
Object Antelope E76661 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: Antelope | Statement: [Sacramento Metropolitan Fire District, serviceArea, Antelope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antelope
Context triple: [Sacramento Metropolitan Fire District, serviceArea, Antelope]
  • A. Antelope chosen
    Antelope is a suburban community in Sacramento County, California, known primarily as a residential area near the city of Sacramento.
  • B. Antilocapra
    Antilocapra is a genus of North American ungulates best known for the pronghorn, a fast-running hoofed mammal often considered the continent’s swiftest land animal.
  • C. Elk
    Elk is a town in northeastern Poland known for its lakeside setting and role as a local cultural and economic center in the Warmian-Masurian region.
  • D. Gazella
    Gazella is a genus of small, swift antelopes commonly known as gazelles, native to arid and semi-arid regions of Africa and Asia.
  • E. Cervo
    Cervo is a river in the Piedmont region of northwestern Italy, known for flowing through the provinces of Biella and Vercelli before joining the Sesia.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beca6d88190a0c1adb18c9f2ac4 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:51 a.m.