Triple
T22302900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn Lake |
E551301
|
entity |
| Predicate | locatedInTimeZone |
P109
|
FINISHED |
| Object | CST |
—
|
NE NERFINISHED |
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: CST | Statement: [Lynn Lake, locatedInTimeZone, CST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CST Context triple: [Lynn Lake, locatedInTimeZone, CST]
-
A.
CST
chosen
CST is a North American time standard that is six hours behind Coordinated Universal Time (UTC−6), commonly used in the central regions of the United States, Canada, and parts of Mexico.
-
B.
CST
CST is the abbreviation for the Communications Security Establishment, Canada’s national cryptologic agency responsible for foreign signals intelligence and cybersecurity.
-
C.
CST
CST is the National Rail station code for London Cannon Street railway station in central London.
-
D.
CST
CST is the abbreviation for the University of Chicago’s Committee on Social Thought, an interdisciplinary graduate program bringing together scholars from the humanities, social sciences, and related fields.
-
E.
CST
CST is the Toulouse Space Centre, a major French facility dedicated to space research, satellite operations, and mission control.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572517588190bef6f8bfb76afb19 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.