Triple
T26160241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatham Daylight Time |
E660087
|
entity |
| Predicate | hasUniqueOffsetIncrement |
P158677
|
FINISHED |
| Object | 45 minutes |
—
|
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: 45 minutes | Statement: [Chatham Daylight Time, hasUniqueOffsetIncrement, 45 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniqueOffsetIncrement Context triple: [Chatham Daylight Time, hasUniqueOffsetIncrement, 45 minutes]
-
A.
hasIncrement
Indicates that one value or state increases by a specified step or amount relative to another.
-
B.
hasOffset
chosen
Indicates that one entity is displaced or shifted from another by a specified amount, distance, or position.
-
C.
hasUniquePositionWithin
Indicates that an entity occupies a distinct, non-shared position or role within a specified context or collection.
-
D.
hasNumberingIncrement
Indicates that one entity specifies the step size or increment used when numbering another entity in a sequence.
-
E.
hasUniqueness
Indicates that something possesses a distinctive or one-of-a-kind quality that sets it apart from others.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 26, 2026, 8:29 p.m.