Triple

T12017802
Position Surface form Disambiguated ID Type / Status
Subject Keage Station area E286070 entity
Predicate hasTransportConnection P845 FINISHED
Object Keage Station E286070 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: Keage Station | Statement: [Keage Station area, hasTransportConnection, Keage Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keage Station
Context triple: [Keage Station area, hasTransportConnection, Keage Station]
  • A. Kaeson Station
    Kaeson Station is a notable stop on Pyongyang’s metro system, known for its grand socialist-realist decor and proximity to the Arch of Triumph.
  • B. Keage Station area chosen
    The Keage Station area is a district in Kyoto, Japan, known as a convenient gateway to nearby cultural and scenic spots such as temples, canals, and walking paths.
  • C. Joanic station
    Joanic station is an underground Barcelona Metro stop in the Gràcia district, serving passengers on the city’s Line 4.
  • D. Black Rock station
    Black Rock station is the eastern end stop of Brighton’s historic seafront Volk’s Electric Railway, one of the world’s oldest operating electric railways.
  • E. Moss Station
    Moss Station is a railway station serving the town of Moss in Viken county, Norway, as part of the country’s intercity and regional rail network.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903dabf2c819084dcaa05ae0a6018 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d4156ec8190bfc6d1180ac41d06 completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.