Triple

T22558137
Position Surface form Disambiguated ID Type / Status
Subject Hagenholz depot E557740 entity
Predicate locatedInNeighbourhood P40 FINISHED
Object Hagenholz
Hagenholz is a neighbourhood in Zurich, Switzerland, known for its industrial facilities and transport infrastructure.
E1542689 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: Hagenholz | Statement: [Hagenholz depot, locatedInNeighbourhood, Hagenholz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagenholz
Context triple: [Hagenholz depot, locatedInNeighbourhood, Hagenholz]
  • A. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • B. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • C. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • D. Hünfeld
    Hünfeld is a small town in the state of Hesse in central Germany, known in part for its association with computing pioneer Konrad Zuse.
  • E. Eisenhut
    Eisenhut is a prominent mountain peak in the Austrian Alps, known as the highest summit of the Nock Mountains range.
  • 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: Hagenholz
Triple: [Hagenholz depot, locatedInNeighbourhood, Hagenholz]
Generated description
Hagenholz is a neighbourhood in Zurich, Switzerland, known for its industrial facilities and transport infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hagenholz
Target entity description: Hagenholz is a neighbourhood in Zurich, Switzerland, known for its industrial facilities and transport infrastructure.
  • A. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • B. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • C. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • D. Hünfeld
    Hünfeld is a small town in the state of Hesse in central Germany, known in part for its association with computing pioneer Konrad Zuse.
  • E. Eisenhut
    Eisenhut is a prominent mountain peak in the Austrian Alps, known as the highest summit of the Nock Mountains range.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b2d6a72448190bddf2e280b6fca76 completed May 18, 2026, 3:16 p.m.
NEDg Description generation batch_6a0b364718308190937c3b7ae90ea9df completed May 18, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b37998f888190bb53c2429760321a completed May 18, 2026, 4 p.m.
Created at: April 16, 2026, 8:52 p.m.