Triple
T3423134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EAST |
E72159
|
entity |
| Predicate | locatedInTimeZoneDatabaseCountry |
P48628
|
FINISHED |
| Object | CL |
—
|
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: CL | Statement: [EAST, locatedInTimeZoneDatabaseCountry, CL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTimeZoneDatabaseCountry Context triple: [EAST, locatedInTimeZoneDatabaseCountry, CL]
-
A.
locatedInTimeZone
Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
-
B.
timeZoneDatabase
Indicates that there is an association between something (such as a system, service, or region) and a specific time zone database it uses or is defined by.
-
C.
partlyLocatedInTimeZone
Indicates that an entity’s extent overlaps multiple time zones, with at least part of it falling within the specified time zone.
-
D.
relatedTimeZone
Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
-
E.
isSubnationalTimeZoneOf
Indicates that a time zone is officially used within, and is a subdivision-specific part of, a particular country or larger political entity.
- F. None of above. chosen
Provenance (4 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb95223e081908b2954769d2f46c8 |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.