Triple
T17288885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Code of Civil Procedure |
E419730
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ZPO
ZPO is the commonly used abbreviation for the Swiss Code of Civil Procedure, the federal law governing civil court proceedings in Switzerland.
|
E519924
|
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: ZPO | Statement: [Swiss Code of Civil Procedure, shortName, ZPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZPO Context triple: [Swiss Code of Civil Procedure, shortName, ZPO]
-
A.
ZPO
ZPO is the standard abbreviation for the German Code of Civil Procedure, the central statute governing civil court proceedings in Germany.
-
B.
ZP
ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
C.
PZ
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
-
D.
PZ
PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
-
E.
PZ
PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
- 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: ZPO Triple: [Swiss Code of Civil Procedure, shortName, ZPO]
Generated description
ZPO is the commonly used abbreviation for the Swiss Code of Civil Procedure, the federal law governing civil court proceedings in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZPO Target entity description: ZPO is the commonly used abbreviation for the Swiss Code of Civil Procedure, the federal law governing civil court proceedings in Switzerland.
-
A.
ZPO
chosen
ZPO is the standard abbreviation for the German Code of Civil Procedure, the central statute governing civil court proceedings in Germany.
-
B.
ZP
ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
C.
PZ
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
-
D.
PZ
PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
-
E.
PZ
PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
- F. None of above.
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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43781b7808190a0528ee9c54a0c66 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017957c738819087341bcd51b55114 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a0179f16af481909f409adb5367f021 |
completed | May 11, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017ad8480881909ca9a9982585b08d |
completed | May 11, 2026, 6:44 a.m. |
Created at: April 10, 2026, 5:40 a.m.