Triple

T38164650
Position Surface form Disambiguated ID Type / Status
Subject Türkenschanzpark E953109 entity
Predicate hasNearbyTransport P1288 FINISHED
Object Vienna S-Bahn station Wien Gersthof
Vienna S-Bahn station Wien Gersthof is a suburban railway stop in Vienna’s 18th district that serves as a local transit hub connecting residential areas and nearby parks to the wider city rail network.
E2258536 NE FINISHED

How this triple was built (2 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: Vienna S-Bahn station Wien Gersthof | Statement: [Türkenschanzpark, hasNearbyTransport, Vienna S-Bahn station Wien Gersthof]
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: Vienna S-Bahn station Wien Gersthof
Triple: [Türkenschanzpark, hasNearbyTransport, Vienna S-Bahn station Wien Gersthof]
Generated description
Vienna S-Bahn station Wien Gersthof is a suburban railway stop in Vienna’s 18th district that serves as a local transit hub connecting residential areas and nearby parks to the wider city rail network.

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_69f76f0b93c48190a117319ab3a9f282 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc465c315c8190a4e0e5d4900a64d3 completed May 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41713d4df48190a17d71a80402271b completed June 28, 2026, 7:08 p.m.
NEDg Description generation batch_6a4172eb95fc819082d3ce8090f9b20c completed June 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a41736266c08190810e3a1748d0ff59 completed June 28, 2026, 7:17 p.m.
Created at: May 3, 2026, 4:21 p.m.