Triple

T11953971
Position Surface form Disambiguated ID Type / Status
Subject Imielin metro station E284500 entity
Predicate hasStationCode P1289 FINISHED
Object A-4
A-4 is the station code assigned to the Imielin metro station in the Warsaw Metro system.
 E956925 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-4 | Statement: [Imielin metro station, hasStationCode, A-4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A-4
Context triple: [Imielin metro station, hasStationCode, A-4]
  • A. A-6
    A-6 is the station code assigned to Wilanowska, a station on the Warsaw Metro system.
  • B. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • C. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • D. A40
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • E. A34
    A34 is a major trunk road in England that runs from Winchester in Hampshire to Salford near Manchester, serving as an important north–south transport route.
  • 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-4
Triple: [Imielin metro station, hasStationCode, A-4]
Generated description
A-4 is the station code assigned to the Imielin metro station in the Warsaw Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A-4
Target entity description: A-4 is the station code assigned to the Imielin metro station in 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-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • C. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • D. A40
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • E. A34
    A34 is a major trunk road in England that runs from Winchester in Hampshire to Salford near Manchester, serving as an important north–south transport route.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4590584608190bc00840c43f115a0 completed May 1, 2026, 7:40 a.m.
NEDg Description generation batch_69f45f89d5b08190a87312d96e61898a completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464a5191881908e291943996169cb completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:45 p.m.