Triple
T18343383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerome Park Racetrack |
E439466
|
entity |
| Predicate | geonamesClass |
P17163
|
FINISHED |
| Object | P (populated place feature class – facility) |
—
|
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: P (populated place feature class – facility) | Statement: [Jerome Park Racetrack, geonamesClass, P (populated place feature class – facility)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geonamesClass Context triple: [Jerome Park Racetrack, geonamesClass, P (populated place feature class – facility)]
-
A.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
B.
typeOfToponym
chosen
Indicates the specific category or kind of place name (toponym) that applies to a given geographic entity.
-
C.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
D.
regionClassification
Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
-
E.
geographyBehavior
Indicates how an entity behaves, functions, or interacts in relation to its geographic context or location.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f188e081909cdbce61a21b9591 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.