Triple
T16118834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Toronto |
E391078
|
entity |
| Predicate | databaseZoneNameFormat |
P16765
|
FINISHED |
| Object | Area/Location |
—
|
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: Area/Location | Statement: [America/Toronto, databaseZoneNameFormat, Area/Location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: databaseZoneNameFormat Context triple: [America/Toronto, databaseZoneNameFormat, Area/Location]
-
A.
exampleZoneName
Indicates that an entity is associated with a zone identified by a specific example or placeholder name.
-
B.
DNSZone
Indicates a relationship where a set of DNS records is grouped and managed together under a specific domain namespace as a single administrative unit.
-
C.
timeZoneDatabaseFormat
chosen
Indicates that the relationship specifies the time zone using a standardized database format (such as the IANA/Olson time zone identifier).
-
D.
zoneNameEncoding
Indicates how the name of a zone is represented or encoded in a specific format or scheme.
-
E.
formerIANAZoneName
Indicates that one name was previously used as an official IANA time zone identifier for the other.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016d527c8190928e73661b18a914 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.