Triple

T16802581
Position Surface form Disambiguated ID Type / Status
Subject Flaminio district E408393 entity
Predicate adjacentTo P224 FINISHED
Object Prati district E1172623 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: Prati district | Statement: [Flaminio district, adjacentTo, Prati district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prati district
Context triple: [Flaminio district, adjacentTo, Prati district]
  • A. Prati district chosen
    Prati district is an elegant central neighborhood in Rome known for its wide boulevards, upscale shops, and proximity to the Vatican.
  • B. Dausa district
    Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
  • C. Anra District
    Anra District is an administrative district located within Huari Province in the Ancash Region of Peru.
  • D. Rodat District
    Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
  • E. Phachi District
    Phachi District is an administrative district (amphoe) in central Thailand known for its role as a railway junction area within Ayutthaya Province.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c8fe58819087d3b83635255c34 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1598dc81909fa5118e739a3291 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.