Triple
T802444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrocław |
E17157
|
entity |
| Predicate | timeZoneDST |
P109
|
FINISHED |
| Object | CEST |
E5930
|
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: CEST | Statement: [Wrocław, timeZoneDST, CEST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEST Context triple: [Wrocław, timeZoneDST, CEST]
-
A.
CEST
chosen
CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
-
B.
CST
CST is a North American time standard that is six hours behind Coordinated Universal Time (UTC−6), commonly used in the central regions of the United States, Canada, and parts of Mexico.
-
C.
CST
CST is the time zone used throughout mainland China, eight hours ahead of Coordinated Universal Time (UTC+8).
-
D.
CST
CST is a prominent Chicago-based theater company renowned for its innovative productions of Shakespearean and other classic and contemporary works.
-
E.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabd9fc081908ccadd8e8769de2d |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a68924e1048190ba60034c8b8b3b9e |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.