Triple
T14486299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AZT |
E359235
|
entity |
| Predicate | appliesYearRound |
P8056
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [AZT, appliesYearRound, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesYearRound Context triple: [AZT, appliesYearRound, yes]
-
A.
accessibleYearRound
Indicates that the subject can be accessed or used during all seasons of the year without interruption.
-
B.
isUsedAllYear
chosen
Indicates that something is utilized or remains in active use throughout the entire year, without being limited to a particular season or period.
-
C.
isYearRoundCommunity
Indicates that a place or settlement is inhabited and functions as a community throughout the entire year, rather than only seasonally or temporarily.
-
D.
hasSeasonalRound
Indicates a recurring, seasonally patterned cycle of movements, activities, or resource use associated with an entity over the course of a year.
-
E.
appliesDuringMonths
Indicates that something is valid, active, or in effect only during specific months of the year.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.