Triple
T30021332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tufnell Park tube station |
E762746
|
entity |
| Predicate | normalTimeZone |
P6185
|
FINISHED |
| Object | GMT |
—
|
LITERAL 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: GMT | Statement: [Tufnell Park tube station, normalTimeZone, GMT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normalTimeZone Context triple: [Tufnell Park tube station, normalTimeZone, GMT]
-
A.
standardTimeName
Indicates the official name assigned to a particular standard time used in a region or context.
-
B.
timeZoneState
Indicates that one entity is a state or region associated with the time zone of another entity.
-
C.
standardTimeDesignation
Indicates that one entity designates or specifies the standard (non-daylight-saving) time applicable to another entity.
-
D.
relatedTimeZone
chosen
Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
-
E.
hasTimeZoneNote
Indicates that there is an associated note or annotation providing additional information or clarification about a time zone.
- F. None of above.
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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f679a7eb208190a85a8e61f45ba832 |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:47 p.m.