Triple
T36657248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moosic, Pennsylvania |
E905026
|
entity |
| Predicate | railServiceNearby |
P170255
|
FINISHED |
| Object | Steamtown National Historic Site rail lines in Scranton |
—
|
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: Steamtown National Historic Site rail lines in Scranton | Statement: [Moosic, Pennsylvania, railServiceNearby, Steamtown National Historic Site rail lines in Scranton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railServiceNearby Context triple: [Moosic, Pennsylvania, railServiceNearby, Steamtown National Historic Site rail lines in Scranton]
-
A.
railConnectionNearby
chosen
Indicates that there is a railway connection located close to the referenced entity or location.
-
B.
nearestRailwayTerminus
Indicates that one location is the closest railway terminus to another specified place.
-
C.
transportationNearby
Indicates that there is a transportation facility or service located close to the referenced entity.
-
D.
nearbyHeritageStation
Indicates that one entity is located close to a heritage (historically or culturally significant) station.
-
E.
nearestPassengerRailStation
Indicates that one entity is the closest passenger rail station in distance to another 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c77907808190904959e4326fed7d |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.