Triple
T11309933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 摂南大学 |
E267809
|
entity |
| Predicate | 所在国タイムゾーン |
P109
|
FINISHED |
| Object | 日本標準時 |
—
|
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: 日本標準時 | Statement: [摂南大学, 所在国タイムゾーン, 日本標準時]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所在国タイムゾーン Context triple: [摂南大学, 所在国タイムゾーン, 日本標準時]
-
A.
locatedInTimeZone
chosen
Indicates that an entity exists or an event occurs within the temporal bounds defined by a specific time zone.
-
B.
timeZoneRegionOf
Indicates that a time zone is the official or primary time zone used within a specified geographic region.
-
C.
relatedTimeZone
Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
-
D.
locatedInTimeZoneDatabaseCountry
Indicates that the entity is situated in, or associated with, a country as defined in the time zone database.
-
E.
capitalTimeZoneOf
Indicates that a specified time zone is the primary or official time zone in which a given capital city is located or operates.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.