Triple

T13084877
Position Surface form Disambiguated ID Type / Status
Subject Thorildsplan E310304 entity
Predicate fareZone P844 FINISHED
Object SL zone A E560839 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: SL zone A | Statement: [Thorildsplan, fareZone, SL zone A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL zone A
Context triple: [Thorildsplan, fareZone, SL zone A]
  • A. SL zone A chosen
    SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
  • B. SL zone C
    SL zone C is one of the outer public transport fare zones in the Stockholm region, covering suburban and outlying areas beyond the central city.
  • C. Zona A
    Zona A was the Allied-administered western sector of the Free Territory of Trieste, encompassing the city of Trieste and surrounding areas after World War II.
  • D. Zone 1A
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • E. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:02 p.m.