Triple
T663873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraków |
E12815
|
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: [Kraków, timeZoneDST, CEST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEST Context triple: [Kraków, 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 the time zone used throughout mainland China, eight hours ahead of Coordinated Universal Time (UTC+8).
-
C.
CST
CST is a prominent Chicago-based theater company renowned for its innovative productions of Shakespearean and other classic and contemporary works.
-
D.
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.
-
E.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd1f0ec819087003d30bbab2fa6 |
completed | March 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c398cc748190ab720263096064ef |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.