Triple
T10768572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Mile Run Trail |
E254015
|
entity |
| Predicate | yearRoundUse |
P84440
|
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: [Four Mile Run Trail, yearRoundUse, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearRoundUse Context triple: [Four Mile Run Trail, yearRoundUse, yes]
-
A.
isUsedAllYear
Indicates that something is utilized or remains in active use throughout the entire year, without being limited to a particular season or period.
-
B.
accessibleYearRound
chosen
Indicates that the subject can be accessed or used during all seasons of the year without interruption.
-
C.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
D.
yearType
Indicates the classification or category assigned to a specific year (e.g., academic, fiscal, calendar, leap).
-
E.
annualFrom
Indicates that something recurs or is calculated on a yearly basis starting from a specified point in time.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.