Triple
T33377217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perinton, New York |
E854666
|
entity |
| Predicate | hasPlanningReputation |
P93104
|
FINISHED |
| Object | well-developed park and trail network |
—
|
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: well-developed park and trail network | Statement: [Perinton, New York, hasPlanningReputation, well-developed park and trail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlanningReputation Context triple: [Perinton, New York, hasPlanningReputation, well-developed park and trail network]
-
A.
haveReputation
chosen
Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
-
B.
hasPlanningStatus
Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
-
C.
hasPlanningSignificance
Indicates that something holds importance or relevance for planning, decision-making, or future organizational activities.
-
D.
hasPlanningLevel
Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
-
E.
hasPlanningType
Indicates that an entity is associated with a specific category or type used for planning or scheduling purposes.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:35 a.m.