Triple
T36161995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckingham Branch Railroad |
E1045901
|
entity |
| Predicate | allowsTrackageRightsTo |
P27244
|
FINISHED |
| Object | Amtrak |
—
|
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: Amtrak | Statement: [Buckingham Branch Railroad, allowsTrackageRightsTo, Amtrak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsTrackageRightsTo Context triple: [Buckingham Branch Railroad, allowsTrackageRightsTo, Amtrak]
-
A.
allowsFreightTrains
Indicates that something permits or authorizes the operation or passage of freight trains.
-
B.
usesTrackage
chosen
Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
-
C.
someRightOfWayUsedBy
Indicates that a particular right of way is utilized or traversed by a specified user, route, or transport entity.
-
D.
grantedLightRailwayOrder
Indicates that an authority has formally issued a legal order authorizing the construction, operation, or modification of a light railway.
-
E.
hasRightOfWay
Indicates that one entity is entitled to proceed or act before another in a shared space or interaction, without having to yield.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4:08 p.m.