Triple

T4117745
Position Surface form Disambiguated ID Type / Status
Subject Tram line 10 (VBZ) E90334 entity
Predicate hasStop P17789 FINISHED
Object Irchel
Irchel is a campus and park area in Zurich, Switzerland, known for hosting part of the University of Zurich and being served by the city’s public transport network.
 E415450 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: Irchel | Statement: [Tram line 10 (VBZ), hasStop, Irchel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irchel
Context triple: [Tram line 10 (VBZ), hasStop, Irchel]
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • C. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • D. Gischala
    Gischala was an ancient Jewish town in Galilee, notable as one of the last strongholds of resistance during the First Jewish–Roman War.
  • E. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • 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: Irchel
Triple: [Tram line 10 (VBZ), hasStop, Irchel]
Generated description
Irchel is a campus and park area in Zurich, Switzerland, known for hosting part of the University of Zurich and being served by the city’s public transport network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irchel
Target entity description: Irchel is a campus and park area in Zurich, Switzerland, known for hosting part of the University of Zurich and being served by the city’s public transport network.
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • C. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • D. Gischala
    Gischala was an ancient Jewish town in Galilee, notable as one of the last strongholds of resistance during the First Jewish–Roman War.
  • E. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01f48c1c8190aacde6cdf70d7775 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576abe02081908a1b0322758089bd completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577180e2881908e3bf4bfce7c9edd completed March 14, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69b5778dcdc08190aee087f6d54992dc completed March 14, 2026, 2:58 p.m.
Created at: March 9, 2026, 3:41 p.m.