Triple
T6552774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Civil Code |
E151167
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ZGB |
E604646
|
NE FINISHED |
How this triple was built (2 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: ZGB | Statement: [Swiss Civil Code, hasAbbreviation, ZGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZGB Context triple: [Swiss Civil Code, hasAbbreviation, ZGB]
-
A.
ZGB
chosen
ZGB is the abbreviation for the Swiss Civil Code, the fundamental body of private law governing civil matters in Switzerland.
-
B.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
-
C.
GZT
GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
-
D.
GZP
GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
-
E.
GZQ
GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae073158819086befaea0e0ab43a |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4214f28819083134e9e6fe6f393 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:51 p.m.