Triple
T15589081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Customs Administration |
E374695
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
EZV
EZV is the German abbreviation for Switzerland’s Federal Customs Administration, the national authority responsible for customs, border security, and related fiscal and regulatory controls.
|
E1165149
|
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: EZV | Statement: [Federal Customs Administration, abbreviation, EZV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EZV Context triple: [Federal Customs Administration, abbreviation, EZV]
-
A.
EVZ
EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
-
B.
EVZ Nachwuchs
EVZ Nachwuchs is the youth development and junior ice hockey program of the Swiss club EV Zug, focused on training and promoting young players.
-
C.
EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
D.
ZVVZ
ZVVZ is a Czech industrial company known for producing air-handling, filtration, and environmental technology equipment.
-
E.
ENZV
ENZV is the ICAO airport code for Stavanger Airport, Sola, a major international airport serving the Stavanger region in southwestern Norway.
- 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: EZV Triple: [Federal Customs Administration, abbreviation, EZV]
Generated description
EZV is the German abbreviation for Switzerland’s Federal Customs Administration, the national authority responsible for customs, border security, and related fiscal and regulatory controls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EZV Target entity description: EZV is the German abbreviation for Switzerland’s Federal Customs Administration, the national authority responsible for customs, border security, and related fiscal and regulatory controls.
-
A.
EVZ
EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
-
B.
EVZ Nachwuchs
EVZ Nachwuchs is the youth development and junior ice hockey program of the Swiss club EV Zug, focused on training and promoting young players.
-
C.
EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
-
D.
ZVVZ
ZVVZ is a Czech industrial company known for producing air-handling, filtration, and environmental technology equipment.
-
E.
ENZV
ENZV is the ICAO airport code for Stavanger Airport, Sola, a major international airport serving the Stavanger region in southwestern Norway.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c53617c8190b4367eee351dc025 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d5de6ec8190ab82ac78bb70a432 |
completed | May 9, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4dd868388190a159618c1fdcf15c |
completed | May 9, 2026, 3:08 p.m. |
Created at: April 10, 2026, 4:11 a.m.