Triple
T3012524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatham Standard Time |
E82254
|
entity |
| Predicate | hasUniqueOffsetWithinCountry |
P15034
|
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: [Chatham Standard Time, hasUniqueOffsetWithinCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniqueOffsetWithinCountry Context triple: [Chatham Standard Time, hasUniqueOffsetWithinCountry, true]
-
A.
isUniqueWithinCountry
chosen
Indicates that an entity is the only one of its kind within the boundaries of a specific country.
-
B.
hasUniquePositionWithin
Indicates that an entity occupies a distinct, non-shared position or role within a specified context or collection.
-
C.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
-
D.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
-
E.
hasAlternativeZoneInCountry
Indicates that an entity has an alternative zone or area located within the specified 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a66c334819082d1d320c48eca1b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.