Triple

T12437874
Position Surface form Disambiguated ID Type / Status
Subject Natolin metro station E297193 entity
Predicate hasStationCode P1289 FINISHED
Object A-7
A-7 is the station code assigned to Natolin, a station on the Warsaw Metro system.
 E983934 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-7 | Statement: [Natolin metro station, hasStationCode, A-7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A-7
Context triple: [Natolin metro station, hasStationCode, A-7]
  • A. A-6
    A-6 is the station code assigned to Wilanowska, a station on the Warsaw Metro system.
  • B. A-6
    A-6 is the station code assigned to the Ursynów station on the Warsaw Metro system.
  • C. A-6
    A-6 is the station code assigned to Służew, a station on the Warsaw Metro system.
  • D. A-4
    A-4 is the station code assigned to the Imielin metro station in the Warsaw Metro system.
  • E. A-20
    A-20 is the station code assigned to Marymont, a station on the Warsaw Metro system.
  • 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-7
Triple: [Natolin metro station, hasStationCode, A-7]
Generated description
A-7 is the station code assigned to Natolin, a station on the Warsaw Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A-7
Target entity description: A-7 is the station code assigned to Natolin, a station on the Warsaw Metro system.
  • A. A-6
    A-6 is the station code assigned to Wilanowska, a station on the Warsaw Metro system.
  • B. A-6
    A-6 is the station code assigned to the Ursynów station on the Warsaw Metro system.
  • C. A-6
    A-6 is the station code assigned to Służew, a station on the Warsaw Metro system.
  • D. A-4
    A-4 is the station code assigned to the Imielin metro station in the Warsaw Metro system.
  • E. A-20
    A-20 is the station code assigned to Marymont, a station on the Warsaw Metro system.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0911a08190ba84a20950762e68 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f640ef7dd08190bf78d04cffac1a44 completed May 2, 2026, 6:22 p.m.
NED2 Entity disambiguation (via description) batch_69f641abe114819093d99a327f2220c2 completed May 2, 2026, 6:25 p.m.
Created at: April 8, 2026, 9:55 p.m.