Triple

T11423871
Position Surface form Disambiguated ID Type / Status
Subject Kabaty metro station E270694 entity
Predicate hasStationCode P1289 FINISHED
Object A-1
A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
 E924673 NE FINISHED

How this triple was built (4 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: A-1 | Statement: [Kabaty metro station, hasStationCode, A-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A-1
Context triple: [Kabaty metro station, hasStationCode, A-1]
  • A. A 1
    A 1 is a major German autobahn that runs north–south across the country, connecting key cities and regions.
  • B. A1A
    A1A is a scenic coastal highway in Florida that runs along the Atlantic Ocean, known for connecting popular beaches and tourist destinations.
  • C. A1
    A1 is the designation of Switzerland’s primary east–west motorway, connecting major cities such as Geneva, Bern, Zurich, and St. Gallen.
  • D. A1
    A1 is a major north–south trunk road in England that forms part of the primary route between London and Edinburgh.
  • E. A1
    A1 is the primary north–south route along Australia’s east coast, forming part of the country’s National Highway network and linking major coastal cities and regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A-1
Triple: [Kabaty metro station, hasStationCode, A-1]
Generated description
A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A-1
Target entity description: A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • A. A 1
    A 1 is a major German autobahn that runs north–south across the country, connecting key cities and regions.
  • B. A1A
    A1A is a scenic coastal highway in Florida that runs along the Atlantic Ocean, known for connecting popular beaches and tourist destinations.
  • C. A1
    A1 is the designation of Switzerland’s primary east–west motorway, connecting major cities such as Geneva, Bern, Zurich, and St. Gallen.
  • D. A1
    A1 is a major north–south trunk road in England that forms part of the primary route between London and Edinburgh.
  • E. A1
    A1 is the primary north–south route along Australia’s east coast, forming part of the country’s National Highway network and linking major coastal cities and regions.
  • F. None of above. chosen

Provenance (5 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8b553808190bf8b40d9b03e12b7 completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.