Triple

T3014897
Position Surface form Disambiguated ID Type / Status
Subject Schlieren E82313 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Oberengstringen
Oberengstringen is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
E317797 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: Oberengstringen | Statement: [Schlieren, neighboringMunicipality, Oberengstringen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberengstringen
Context triple: [Schlieren, neighboringMunicipality, Oberengstringen]
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Oberursel
    Oberursel is a town in the German state of Hesse, near Frankfurt am Main, known for its historic old town and location on the edge of the Taunus mountains.
  • C. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • D. Meiringen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • E. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • 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: Oberengstringen
Triple: [Schlieren, neighboringMunicipality, Oberengstringen]
Generated description
Oberengstringen is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oberengstringen
Target entity description: Oberengstringen is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Oberursel
    Oberursel is a town in the German state of Hesse, near Frankfurt am Main, known for its historic old town and location on the edge of the Taunus mountains.
  • C. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • D. Meiringen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • E. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a69e8148190a97507740c9d26a8 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6b78448190beb41460314278ec completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12faf75ac81909031430d58919c95 completed March 11, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_69b1c7d3f2c88190aa26d8d12777b2a2 completed March 11, 2026, 7:51 p.m.
Created at: March 8, 2026, 3 p.m.