Triple
T33173944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Route 169 |
E849112
|
entity |
| Predicate | connectsUrbanToRural |
P114596
|
FINISHED |
| Object | Little Falls and surrounding countryside |
—
|
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: Little Falls and surrounding countryside | Statement: [New York State Route 169, connectsUrbanToRural, Little Falls and surrounding countryside]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsUrbanToRural Context triple: [New York State Route 169, connectsUrbanToRural, Little Falls and surrounding countryside]
-
A.
connectsUrbanAndRuralAreas
chosen
Indicates a relationship where something provides a link or facilitates interaction between urban regions and rural regions.
-
B.
connectsRuralCommunitiesNear
Indicates a relationship where something (such as infrastructure or services) links rural communities that are geographically close to one another.
-
C.
urbanRuralRelation
Indicates a relationship that characterizes how urban and rural areas are connected, contrasted, or interact with each other.
-
D.
connectsToUrbanCenter
Indicates that one entity has a direct or functional linkage to an urban center, such as through infrastructure, services, or regular interaction.
-
E.
ruralCoverage
Indicates the extent to which a service, infrastructure, or resource is available or provided in rural areas.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: May 1, 2026, 1:29 a.m.