Triple
T6726515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, Charles University |
E153530
|
entity |
| Predicate | countryISO |
P208
|
FINISHED |
| Object | CZ |
E175721
|
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: CZ | Statement: [Faculty of Science, Charles University, countryISO, CZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CZ Context triple: [Faculty of Science, Charles University, countryISO, CZ]
-
A.
CZ
chosen
CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
-
B.
CZ-ZL
CZ-ZL is the ISO 3166-2 subdivision code assigned to the Zlín Region of the Czech Republic.
-
C.
CZI
CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
-
D.
CZR
CZR is the stock ticker symbol for Caesars Entertainment, Inc., a major U.S. casino and resort operator.
-
E.
CZM
CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d15131f08190aba6c00943c51331 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700a5428c81908d4484c3e3734076 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:08 p.m.