Triple
T19877250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rüti ZH |
E477669
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Wald ZH
Wald ZH is a municipality in the canton of Zurich, Switzerland, located in the hilly Zürcher Oberland region.
|
E1399872
|
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: Wald ZH | Statement: [Rüti ZH, hasNeighbouringMunicipality, Wald ZH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wald ZH Context triple: [Rüti ZH, hasNeighbouringMunicipality, Wald ZH]
-
A.
ZUH
ZUH is the IATA airport code for Zhuhai Jinwan Airport, serving the city of Zhuhai in Guangdong Province, China.
-
B.
ZWD
ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
-
C.
ZWL
ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
-
D.
ZWL
ZWL is the National Rail station code assigned to Whitechapel railway station in London.
-
E.
ZGZH
ZGZH is the ICAO airport code for Liuzhou Bailian Airport in Liuzhou, Guangxi, China.
- 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: Wald ZH Triple: [Rüti ZH, hasNeighbouringMunicipality, Wald ZH]
Generated description
Wald ZH is a municipality in the canton of Zurich, Switzerland, located in the hilly Zürcher Oberland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wald ZH Target entity description: Wald ZH is a municipality in the canton of Zurich, Switzerland, located in the hilly Zürcher Oberland region.
-
A.
ZUH
ZUH is the IATA airport code for Zhuhai Jinwan Airport, serving the city of Zhuhai in Guangdong Province, China.
-
B.
ZWD
ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
-
C.
ZWL
ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
-
D.
ZWL
ZWL is the National Rail station code assigned to Whitechapel railway station in London.
-
E.
ZGZH
ZGZH is the ICAO airport code for Liuzhou Bailian Airport in Liuzhou, Guangxi, China.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc82f0881909556c54b8ce3533f |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc854a0c8190b0da81ead6b9cfc1 |
completed | May 16, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd45e93c8190b14c23487398a8ec |
completed | May 16, 2026, 2:58 a.m. |
Created at: April 10, 2026, 1:52 p.m.