Triple

T33626266
Position Surface form Disambiguated ID Type / Status
Subject Budapest transport network E861412 entity
Predicate suburbanRailLine P159750 FINISHED
Object H5 Szentendre line
The H5 Szentendre line is a suburban HÉV railway route connecting central Budapest with the town of Szentendre and nearby northern suburbs along the Danube.
 E95946 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: H5 Szentendre line | Statement: [Budapest transport network, suburbanRailLine, H5 Szentendre line]
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: H5 Szentendre line
Triple: [Budapest transport network, suburbanRailLine, H5 Szentendre line]
Generated description
The H5 Szentendre line is a suburban HÉV railway route connecting central Budapest with the town of Szentendre and nearby northern suburbs along the Danube.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: suburbanRailLine
Context triple: [Budapest transport network, suburbanRailLine, H5 Szentendre line]
  • A. isSuburbanRailway chosen
    Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
  • B. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • C. isSuburbanRailIn
    Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
  • D. lightRailNetwork
    Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
  • E. urbanRailway
    Indicates a relationship where a railway system operates within or primarily serves an urban or metropolitan area.
  • 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_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.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_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:41 a.m.