Triple
T36451839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Londoners |
E898030
|
entity |
| Predicate | resideInTimeZone |
P109
|
FINISHED |
| Object | Greenwich Mean Time |
—
|
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: Greenwich Mean Time | Statement: [Londoners, resideInTimeZone, Greenwich Mean Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resideInTimeZone Context triple: [Londoners, resideInTimeZone, Greenwich Mean Time]
-
A.
locatedInTimeZone
chosen
Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
-
B.
isLocatedInTimeZoneRegion
Indicates that one entity exists within or is associated with the temporal boundaries defined by a specific time zone region.
-
C.
timeZoneRegionOf
Indicates that a time zone is the official or primary time zone used within a specified geographic region.
-
D.
locatedInTimeZoneUTCOffsetDST
Indicates that an entity exists or operates in a time zone that observes daylight saving time with a specified UTC offset during that DST period.
-
E.
timeZoneImplication
Indicates that one time zone condition or setting logically leads to, constrains, or determines another time zone condition or setting.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:10 p.m.