Triple
T23345577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triemli tram stop |
E591852
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object |
Triemli
Triemli is a residential and hospital district in Zürich, Switzerland, known for the large Stadtspital Triemli hospital complex and its public transport connections.
|
E1581160
|
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: Triemli | Statement: [Triemli tram stop, servesDistrict, Triemli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triemli Context triple: [Triemli tram stop, servesDistrict, Triemli]
-
A.
Trevim
Trevim is a prominent mountain peak in central Portugal, known as the summit of the Serra da Lousã range and a popular spot for panoramic views and outdoor activities.
-
B.
Tré
Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
-
C.
Tréhet
Tréhet is a small commune in the Loir-et-Cher department of central France.
-
D.
Tresinaro
Tresinaro is a stream in northern Italy that serves as a tributary of the Secchia River in the Emilia-Romagna region.
-
E.
Triund
Triund is a popular hill-station and trekking destination in the Dhauladhar range of Himachal Pradesh, India, known for its panoramic views of the Himalayas.
- 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: Triemli Triple: [Triemli tram stop, servesDistrict, Triemli]
Generated description
Triemli is a residential and hospital district in Zürich, Switzerland, known for the large Stadtspital Triemli hospital complex and its public transport connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triemli Target entity description: Triemli is a residential and hospital district in Zürich, Switzerland, known for the large Stadtspital Triemli hospital complex and its public transport connections.
-
A.
Trevim
Trevim is a prominent mountain peak in central Portugal, known as the summit of the Serra da Lousã range and a popular spot for panoramic views and outdoor activities.
-
B.
Tré
Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
-
C.
Tréhet
Tréhet is a small commune in the Loir-et-Cher department of central France.
-
D.
Tresinaro
Tresinaro is a stream in northern Italy that serves as a tributary of the Secchia River in the Emilia-Romagna region.
-
E.
Triund
Triund is a popular hill-station and trekking destination in the Dhauladhar range of Himachal Pradesh, India, known for its panoramic views of the Himalayas.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983697408190b31817174ed4e77b |
completed | April 29, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4cb88cd081908b7c20e31ef0134a |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c50930c348190b81f1a4cbf432d93 |
completed | May 19, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c511e9be4819083eb3ec76fea8d51 |
completed | May 19, 2026, 12:01 p.m. |
Created at: April 17, 2026, 5:19 p.m.