Triple
T1281644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Neptune Spear |
E27338
|
entity |
| Predicate | timeZoneContext |
P26707
|
FINISHED |
| Object | local time in Pakistan was early 2011-05-02 |
—
|
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: local time in Pakistan was early 2011-05-02 | Statement: [Operation Neptune Spear, timeZoneContext, local time in Pakistan was early 2011-05-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeZoneContext Context triple: [Operation Neptune Spear, timeZoneContext, local time in Pakistan was early 2011-05-02]
-
A.
timeZoneDependence
Indicates how a process, value, or behavior changes or is determined based on the time zone in which it is considered.
-
B.
timeZoneType
Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
-
C.
timeZoneName
Indicates the specific time zone designation (such as its standard name or label) associated with an entity.
-
D.
relatedTimeZone
Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
-
E.
locatedInTimeZone
Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b317788190a1672b5ee422a049 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:50 p.m.