Triple

T4548925
Position Surface form Disambiguated ID Type / Status
Subject Bern tram network E110113 entity
Predicate hasDepot P2413 FINISHED
Object Elfenau depot
Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
E452071 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: Elfenau depot | Statement: [Bern tram network, hasDepot, Elfenau depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elfenau depot
Context triple: [Bern tram network, hasDepot, Elfenau depot]
  • A. Elsau depot
    Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
  • B. Vastral Depot
    Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
  • C. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • D. Britz-Süd depot
    Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
  • E. Flöha station
    Flöha station is a regional railway station in the town of Flöha in Saxony, Germany, serving as a local transport hub on routes connecting to the nearby city of Chemnitz.
  • 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: Elfenau depot
Triple: [Bern tram network, hasDepot, Elfenau depot]
Generated description
Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elfenau depot
Target entity description: Elfenau depot is a tram facility in Bern, Switzerland, used for housing, maintaining, and dispatching vehicles on the Bern tram network.
  • A. Elsau depot
    Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
  • B. Vastral Depot
    Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
  • C. Fürth depot
    Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
  • D. Britz-Süd depot
    Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
  • E. Flöha station
    Flöha station is a regional railway station in the town of Flöha in Saxony, Germany, serving as a local transport hub on routes connecting to the nearby city of Chemnitz.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f272248190983ae439bd0ac0cc completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb945bd3881908e6c3f5f91b5f38e completed March 20, 2026, 9:16 p.m.
NEDg Description generation batch_69bdbecf94d0819087519e44aab5a035 completed March 20, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69bdbf81f1208190946611fb6a1c20ba completed March 20, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:05 p.m.