Triple
T380694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valence |
E8671
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object | CET |
E5929
|
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: CET | Statement: [Valence, timeZone, CET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CET Context triple: [Valence, timeZone, CET]
-
A.
CET
chosen
CET is the standard time zone used by many countries in central Europe, typically one hour ahead of Coordinated Universal Time (UTC+1).
-
B.
Test of English as a Foreign Language
The Test of English as a Foreign Language (TOEFL) is a standardized exam that measures the English language proficiency of non-native speakers for academic and professional purposes, especially for admission to universities in English-speaking countries.
-
C.
CEST
CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
-
D.
ETS
ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
-
E.
KCET
KCET is a Los Angeles-based public television station and producer known for creating and distributing influential educational and science programming.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3faffa5848190b77503516f3d0ba6 |
completed | March 1, 2026, 8:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.