Triple
T28763383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairborn Parks and Recreation Division |
E726182
|
entity |
| Predicate | operatesFacilities |
P152229
|
FINISHED |
| Object | public parks in Fairborn |
—
|
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: public parks in Fairborn | Statement: [Fairborn Parks and Recreation Division, operatesFacilities, public parks in Fairborn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesFacilities Context triple: [Fairborn Parks and Recreation Division, operatesFacilities, public parks in Fairborn]
-
A.
operatesFacility
Indicates that an entity is responsible for running, managing, or controlling the operations of a particular facility.
-
B.
operatesFacilitiesType
chosen
Indicates that an entity runs or manages facilities of a specified type.
-
C.
operatedFacilitiesIn
Indicates that an entity has managed or run facilities located within a specified place or jurisdiction.
-
D.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
operatesFacilityInCity
Indicates that an entity manages or runs a particular facility located within a specified city.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: April 28, 2026, 6:12 a.m.