Triple
T36318880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pocono Raceway |
E894274
|
entity |
| Predicate | hasFormerSeries |
P69212
|
FINISHED |
| Object | IndyCar Series |
—
|
NE NERFINISHED |
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: IndyCar Series | Statement: [Pocono Raceway, hasFormerSeries, IndyCar Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerSeries Context triple: [Pocono Raceway, hasFormerSeries, IndyCar Series]
-
A.
formerSeries
chosen
Indicates that one entity was previously a series associated with another entity, but no longer holds that status.
-
B.
hasSeriesCompanions
Indicates that one entity is accompanied by or associated with other entities as companions within the same series.
-
C.
hasSiblingSeriesAppearance
Indicates that two entities appear as siblings within the same series or narrative work.
-
D.
hasPrologueSeries
Indicates that one work serves as a prologue or introductory installment to another work in a series.
-
E.
hasSeriesOpus
Indicates that one work belongs to, or is an installment within, a larger series or opus.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 3, 2026, 4:09 p.m.