Triple
T11848169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe/Rome |
E281835
|
entity |
| Predicate | javaTimeZoneID |
P101835
|
FINISHED |
| Object | Europe/Rome |
—
|
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: Europe/Rome | Statement: [Europe/Rome, javaTimeZoneID, Europe/Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: javaTimeZoneID Context triple: [Europe/Rome, javaTimeZoneID, Europe/Rome]
-
A.
MicrosoftTimeZoneIdentifier
Indicates the specific Microsoft-defined time zone identifier associated with an entity or event.
-
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.
timeZoneEndpoint
Indicates a connection or boundary point where a specific time zone applies or is defined.
-
D.
timeZoneName
Indicates the specific time zone designation (such as its standard name or label) associated with an entity.
-
E.
timeZoneRegionOf
Indicates that a time zone is the official or primary time zone used within a specified geographic region.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65c72088190b8de9550c455b788 |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.