Triple
T1459920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | November |
E31486
|
entity |
| Predicate | quarterOfYear |
P15370
|
FINISHED |
| Object | fourth quarter |
—
|
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: fourth quarter | Statement: [November, quarterOfYear, fourth quarter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterOfYear Context triple: [November, quarterOfYear, fourth quarter]
-
A.
quarter
Indicates that one entity divides another into four equal parts or assigns it to a specific fourth portion of a whole.
-
B.
quarterLength
Indicates that one entity specifies the length or duration of a quarter (e.g., a time period or segment) associated with another entity.
-
C.
thirdQuarter
Indicates that something occurs in, belongs to, or is associated with the third quarter of a defined time period (such as a fiscal or calendar year).
-
D.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
E.
fourthQuarterRepresents
chosen
Indicates that something corresponds to, summarizes, or is used as the representation of the fourth quarter period (e.g., in time, performance, or reporting).
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59d6dd88190b8ff3bda90aef7e2 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.