Triple
T9487901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghanistan Time |
E228807
|
entity |
| Predicate | usedInSouthCentralAsia |
P908
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Afghanistan Time, usedInSouthCentralAsia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInSouthCentralAsia Context triple: [Afghanistan Time, usedInSouthCentralAsia, true]
-
A.
usedInRegion
chosen
Indicates that something is utilized or applied within a specific geographic or administrative region.
-
B.
foundedInSubcontinent
Indicates that an entity was founded or established within a specific geographic subcontinent.
-
C.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
D.
traditionallyUsedBy
Indicates that something has been customarily or historically used by a particular person, group, or culture over time.
-
E.
usedInPresentDayCountry
Indicates that something is currently utilized or occurs within the boundaries of a specified modern-day country.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c443b88190968d2092a73e1ee4 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.