Triple
T4153765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin City Limits Music Festival |
E89967
|
entity |
| Predicate | previousMonthOfOccurrence |
P54653
|
FINISHED |
| Object | September |
—
|
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: September | Statement: [Austin City Limits Music Festival, previousMonthOfOccurrence, September]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousMonthOfOccurrence Context triple: [Austin City Limits Music Festival, previousMonthOfOccurrence, September]
-
A.
typicalMonthOfOccurrence
Indicates the month in which something most commonly or typically occurs.
-
B.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
C.
chronologyPreviousYear
Indicates that one time-related entity occurs exactly one calendar year before another in a chronological sequence.
-
D.
previousSeason
Indicates that one season directly precedes another in chronological order within the same series or competition.
-
E.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
- F. None of above. chosen
Provenance (4 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af033d94888190b34349e355b874ef |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:44 p.m.