Triple
T24898113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showgrounds line |
E623199
|
entity |
| Predicate | operatesPrimarilyDuring |
P111776
|
FINISHED |
| Object | special events |
—
|
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: special events | Statement: [Showgrounds line, operatesPrimarilyDuring, special events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesPrimarilyDuring Context triple: [Showgrounds line, operatesPrimarilyDuring, special events]
-
A.
operatedDuring
Indicates that an action, process, or system was functioning or in operation throughout a specified time period or event.
-
B.
operatesPrimarilyOn
Indicates that one entity is mainly or chiefly used to act upon, affect, or process another entity.
-
C.
operatedSeasonallyFrom
Indicates that an entity was in operation only during specific seasons or periods within a given timeframe.
-
D.
operatesAtTime
chosen
Indicates that an action, process, or system is functioning or active during a specified time or time interval.
-
E.
operatesDaytime
Indicates that an entity performs its primary function or activity during daytime hours.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 18, 2026, 5:26 a.m.