Triple

T33626272
Position Surface form Disambiguated ID Type / Status
Subject Budapest transport network E861412 entity
Predicate hasRiverLine P36817 FINISHED
Object Boat line D11
Boat line D11 is a public river ferry service operating as part of Budapest’s integrated urban transport system along the Danube.
 E2059548 NE FINISHED

How this triple was built (3 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: Boat line D11 | Statement: [Budapest transport network, hasRiverLine, Boat line D11]
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: Boat line D11
Triple: [Budapest transport network, hasRiverLine, Boat line D11]
Generated description
Boat line D11 is a public river ferry service operating as part of Budapest’s integrated urban transport system along the Danube.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRiverLine
Context triple: [Budapest transport network, hasRiverLine, Boat line D11]
  • A. hasRiverCode
    Indicates that a river is associated with a specific identifying code or classification value.
  • B. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • C. hasSettlementOnRiver
    Indicates that a settlement is located on or directly adjacent to a specific river.
  • D. hasBoatLine chosen
    Indicates that one entity operates, owns, or is associated with a particular boat service or boat route line.
  • E. hasCityOnRiver
    Indicates that a city is located on or along the course of a particular river.
  • F. None of above.

Provenance (6 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_69f34981c54c81909b33c3fa2208a52d completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fba2877b248190a974eb092243c0c4 completed May 6, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3611ac06fc8190a26f974ce6d9dcb6 completed June 20, 2026, 4:06 a.m.
NEDg Description generation batch_6a3612ddd714819084e5c57e306bb3cd completed June 20, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a361366b0d48190be19bf37db10848b completed June 20, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69fb8d06a1b48190a937aa410d159dfa completed May 6, 2026, 6:48 p.m.
Created at: May 1, 2026, 1:41 a.m.