Triple

T13521948
Position Surface form Disambiguated ID Type / Status
Subject Alsancak E322918 entity
Predicate hasTransportation P105 FINISHED
Object Alsancak railway station E958025 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: Alsancak railway station | Statement: [Alsancak, hasTransportation, Alsancak railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alsancak railway station
Context triple: [Alsancak, hasTransportation, Alsancak railway station]
  • A. Alsancak railway station chosen
    Alsancak railway station is a historic and central railway terminus in İzmir, Turkey, serving as one of the city's main transportation hubs.
  • B. Medinaceli railway station
    Medinaceli railway station is a regional train station in Medinaceli, Spain, serving as a stop on key rail routes connecting central and northern parts of the country.
  • C. Torbalı station
    Torbalı station is a railway station serving the town of Torbalı in İzmir Province, Turkey, as part of the regional and commuter rail network.
  • D. Ankara railway station
    Ankara railway station is the central rail hub of Turkey’s capital city, serving intercity, high-speed, and commuter trains including the Başkentray system.
  • E. Konak station
    Konak station is a central underground stop on the İzmir Metro system, serving as one of the main transit hubs in the heart of İzmir, Turkey.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8239c481909faf5a9c403b55f2 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:44 p.m.