Triple

T15869057
Position Surface form Disambiguated ID Type / Status
Subject Piața Amzei area E384785 entity
Predicate locatedInAdministrativeUnit P40 FINISHED
Object Sector 1 E160608 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: Sector 1 | Statement: [Piața Amzei area, locatedInAdministrativeUnit, Sector 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sector 1
Context triple: [Piața Amzei area, locatedInAdministrativeUnit, Sector 1]
  • A. Sector 1
    Sector 1 is the prestigious Capitol Complex sector of Chandigarh, India, housing key government buildings and monumental civic architecture designed by Le Corbusier.
  • B. Sector 1 chosen
    Sector 1 is a central administrative district of Bucharest, Romania, known for its affluent neighborhoods, major cultural institutions, and key government buildings.
  • C. Sector 2
    Sector 2 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and cultural areas in the northeastern part of the city.
  • D. Sector 11-I
    Sector 11-I is a residential and commercial neighborhood located within the North Karachi area of Karachi, Pakistan.
  • E. Sector 3
    Sector 3 is one of the administrative sectors of Bucharest, Romania, encompassing a mix of residential, commercial, and historical areas in the eastern part of the city.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155f7fe8c81908fb60ada27b14c8b completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94a4d208190805d33da0e433092 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.