Triple
T7438737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deltona |
E171688
|
entity |
| Predicate | hasNearbyCommuterRail |
P31869
|
FINISHED |
| Object | SunRail station in DeBary |
—
|
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: SunRail station in DeBary | Statement: [Deltona, hasNearbyCommuterRail, SunRail station in DeBary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCommuterRail Context triple: [Deltona, hasNearbyCommuterRail, SunRail station in DeBary]
-
A.
hasNearbyRailway
Indicates that one entity is located close to a railway associated with or relevant to another entity.
-
B.
commuterRailMode
Indicates that the relationship involves travel or transportation specifically by commuter rail as the mode of transit between the related entities.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
servesLocalTrains
Indicates that a station or facility provides service or stops specifically for local (non-express) train routes.
-
E.
hasNearbyRailwayStation
chosen
Indicates that a railway station is located within a short or convenient distance from the referenced entity.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34aa3388190ac300cf934042d78 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.