Triple
T6412185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cincinnati Reds–Pittsburgh Pirates rivalry |
E127731
|
entity |
| Predicate | distanceBetweenCitiesMiles |
P45616
|
FINISHED |
| Object | about 288 |
—
|
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: about 288 | Statement: [Cincinnati Reds–Pittsburgh Pirates rivalry, distanceBetweenCitiesMiles, about 288]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceBetweenCitiesMiles Context triple: [Cincinnati Reds–Pittsburgh Pirates rivalry, distanceBetweenCitiesMiles, about 288]
-
A.
distanceBetweenHomeCities
Indicates the measured spatial distance separating the home cities of two entities.
-
B.
approximateGreatCircleDistanceMiles
chosen
Indicates the approximate distance, measured in miles, between two locations along the great-circle path on the surface of a sphere (typically the Earth).
-
C.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
D.
distanceToLosAngeles
Indicates the measured or calculated distance between a given entity’s location and the city of Los Angeles.
-
E.
distanceFromLosAngeles
Indicates the measured or specified distance between a given entity’s location and the city of Los Angeles.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d228208190ba05eeb7707482fe |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:42 p.m.