Triple

T14964520
Position Surface form Disambiguated ID Type / Status
Subject VI District of Budapest E373153 entity
Predicate hasPublicTransport P1288 FINISHED
Object M3 metro line E1123533 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: M3 metro line | Statement: [VI District of Budapest, hasPublicTransport, M3 metro line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M3 metro line
Context triple: [VI District of Budapest, hasPublicTransport, M3 metro line]
  • A. M3 metro line chosen
    The M3 metro line is one of Budapest’s main rapid transit lines, running in a north–south direction and connecting several key districts and transport hubs across the city.
  • B. M2 metro line
    The M2 metro line is one of Budapest’s main rapid transit lines, running east–west across the city and connecting key residential and commercial districts.
  • C. M3 line
    The M3 line is a rapid transit route within the Ankara Metro system serving parts of Turkey’s capital city.
  • D. Metro Line 3
    Metro Line 3 is a major Mexico City Metro route that runs north–south across the city, connecting key residential and commercial areas including the Gustavo A. Madero borough.
  • E. METRO E Line
    The METRO E Line is a planned bus rapid transit route in the Minneapolis–Saint Paul metropolitan area designed to provide faster, more frequent, and higher-capacity service along a key urban corridor.
  • 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_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bdeec408190893d1db9254da24e completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:45 a.m.