Triple
T38325616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intermediate League World Series |
E1036774
|
entity |
| Predicate | fieldDistanceBasepaths |
P183774
|
FINISHED |
| Object | 70 feet |
—
|
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: 70 feet | Statement: [Intermediate League World Series, fieldDistanceBasepaths, 70 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldDistanceBasepaths Context triple: [Intermediate League World Series, fieldDistanceBasepaths, 70 feet]
-
A.
fieldDistanceBetweenBases
chosen
Indicates the measured distance separating two bases within a field or playing area.
-
B.
basePathLength
Indicates the length of the primary or reference path used as a baseline in a given context.
-
C.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
D.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
-
E.
distancesFrom
Indicates the measured spatial separation between one entity and one or more other entities.
- 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:30 p.m.