Triple
T9561747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montigny-le-Bretonneux |
E230689
|
entity |
| Predicate | timeZone |
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: [Montigny-le-Bretonneux, timeZone, CEST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEST Context triple: [Montigny-le-Bretonneux, timeZone, 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.
CESCE
CESCE is a Spanish state-backed credit insurance and risk management company that has played a key role in the ownership and development of the technology and consulting firm Indra Sistemas.
-
C.
CST
CST is the time zone used throughout mainland China, eight hours ahead of Coordinated Universal Time (UTC+8).
-
D.
CST
CST is the National Rail station code for London Cannon Street railway station in central London.
-
E.
CST
CST is the commonly used abbreviation for the College of Science and Technology, an academic unit focused on education and research in scientific and technological disciplines.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994d31e08190b139f5ad10d8ea31 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152a014a48190925d52967e1fbffe |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:03 p.m.