Triple
T11684600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakkestad |
E277705
|
entity |
| Predicate | hasTimezone |
P3413
|
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: [Rakkestad, hasTimezone, CET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CET Context triple: [Rakkestad, hasTimezone, 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.
CETS
CETS is the standard abbreviation for the Council of Europe’s official treaty publication series, which compiles and numbers all conventions and agreements concluded within the organization.
-
C.
GCET
GCET is an internationally recognized framework established by the UN World Tourism Organization that sets out principles to promote responsible, sustainable, and universally accessible tourism.
-
D.
CUET
CUET is a leading public engineering university in Bangladesh located in Chittagong, specializing in engineering, technology, and architecture education and research.
-
E.
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.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1433be908190b2ac887655a6c85a |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.