Triple
T5179412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smithtown station |
E116880
|
entity |
| Predicate | servesSuburbanArea |
P46405
|
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: [Smithtown station, servesSuburbanArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesSuburbanArea Context triple: [Smithtown station, servesSuburbanArea, yes]
-
A.
servesSuburbsOf
chosen
Indicates that a service, route, or facility provides coverage or support to the suburban areas associated with a particular city or region.
-
B.
isInSuburbanArea
Indicates that something is located within a suburban area, typically between urban and rural regions.
-
C.
hasSuburbanAreas
Indicates that a place includes or is associated with surrounding residential suburban districts or neighborhoods.
-
D.
hasSuburbanRole
Indicates that one entity holds or performs a role, function, or status specifically associated with a suburban context in relation to another entity.
-
E.
isSuburbanCommunityIn
Indicates that a suburban community is located within or belongs to a specified larger geographic or administrative area.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79978a208190b2e5909795108327 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.