Triple
T12606256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pueblo Motorsports Park |
E300984
|
entity |
| Predicate | hasSafetyBarriers |
P34538
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pueblo Motorsports Park, hasSafetyBarriers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyBarriers Context triple: [Pueblo Motorsports Park, hasSafetyBarriers, yes]
-
A.
hasGuardBars
Indicates that one entity is equipped with or protected by guard bars installed on or around it.
-
B.
hasSafetyInfrastructure
chosen
Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
-
C.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
D.
hasSafeStandingAreas
Indicates that designated locations within an area provide secure, stable, and protected spots where individuals can safely stand.
-
E.
typicalBarrierType
Indicates the usual or characteristic type of barrier associated with or used in a given context or situation.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:11 p.m.