Triple

T17098336
Position Surface form Disambiguated ID Type / Status
Subject Fehrbelliner Platz E414907 entity
Predicate fareSystem P395 FINISHED
Object VBB E71189 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: VBB | Statement: [Fehrbelliner Platz, fareSystem, VBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VBB
Context triple: [Fehrbelliner Platz, fareSystem, VBB]
  • A. VBB chosen
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • B. VABB
    VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
  • C. VBB: Berlin AB
    VBB: Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city area served by buses, trams, U-Bahn, and S-Bahn.
  • D. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • E. BVC
    BVC is the IATA airport code for Aristides Pereira International Airport serving Boa Vista Island in Cape Verde.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbffafb08190baf9e0b4fdf1b404 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eefd5f08190b9eb8a81e45a9921 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.