Triple
T29510904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Railroad Museum of New England |
E748646
|
entity |
| Predicate | locatedAtStation |
P105426
|
FINISHED |
| Object | Thomaston station |
—
|
NE NERFINISHED |
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: Thomaston station | Statement: [Railroad Museum of New England, locatedAtStation, Thomaston station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtStation Context triple: [Railroad Museum of New England, locatedAtStation, Thomaston station]
-
A.
hasStationAt
chosen
Indicates that an entity maintains or operates a station located at a specified place.
-
B.
connectsAtStation
Indicates that one transportation service or route links to another at a specific station, allowing passengers to transfer between them there.
-
C.
accessibleFromStation
Indicates that a location or facility can be reached directly or conveniently starting from a given station.
-
D.
isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
-
E.
collectedAtStation
Indicates that something was gathered, received, or picked up at a particular station location.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
Created at: April 28, 2026, 4:32 p.m.