Triple

T4888924
Position Surface form Disambiguated ID Type / Status
Subject Canton of Zürich E109508 entity
Predicate river P165 FINISHED
Object Glatt
Glatt is a river in the Canton of Zürich in Switzerland, known for flowing out of Lake Greifen and joining the Rhine near Glattfelden.
 E477672 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: Glatt | Statement: [Canton of Zürich, river, Glatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glatt
Context triple: [Canton of Zürich, river, Glatt]
  • A. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • B. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • C. Labná
    Labná is a small ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its ornate Puuc-style architecture and iconic arched gateway.
  • D. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • E. Zeruah
    Zeruah is a woman mentioned in the Hebrew Bible as the mother of Jeroboam I, the first king of the northern kingdom of Israel.
  • 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: Glatt
Triple: [Canton of Zürich, river, Glatt]
Generated description
Glatt is a river in the Canton of Zürich in Switzerland, known for flowing out of Lake Greifen and joining the Rhine near Glattfelden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glatt
Target entity description: Glatt is a river in the Canton of Zürich in Switzerland, known for flowing out of Lake Greifen and joining the Rhine near Glattfelden.
  • A. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • B. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • C. Labná
    Labná is a small ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its ornate Puuc-style architecture and iconic arched gateway.
  • D. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • E. Zeruah
    Zeruah is a woman mentioned in the Hebrew Bible as the mother of Jeroboam I, the first king of the northern kingdom of Israel.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e06a81881908734dbdc350a2039 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681704f08190938aec498d7d4662 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6d3127448190ab7a967ab78820a4 completed March 21, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69be6dd42bc08190ba4561f74ca7733b completed March 21, 2026, 10:07 a.m.
Created at: March 20, 2026, 1:28 p.m.