Triple
T35231222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecticut Southern Railroad |
E1017238
|
entity |
| Predicate | hasTrackageRightsOn |
P200742
|
FINISHED |
| Object | Amtrak Springfield Line |
—
|
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 Springfield Line | Statement: [Connecticut Southern Railroad, hasTrackageRightsOn, Amtrak Springfield Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackageRightsOn Context triple: [Connecticut Southern Railroad, hasTrackageRightsOn, Amtrak Springfield Line]
-
A.
hasRightsOver
Indicates that one entity possesses legal, moral, or formal entitlements or authority over another entity.
-
B.
ownerOfSomeTrack
Indicates that an entity has ownership of at least one track (such as a song, audio track, or similar item).
-
C.
hasFranchiseRightsGrantedBy
Indicates that one party has been granted the legal rights to operate or exploit a franchise by another granting authority.
-
D.
hasRightsStatus
Indicates that an entity is associated with a particular legal or usage rights condition or status.
-
E.
hasRightsFrom
Indicates that one entity possesses rights, permissions, or entitlements that originate from or are granted by another entity.
- F. None of above. chosen
Provenance (4 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69ffaa7af814819095ed51ea1989ff14 |
completed | May 9, 2026, 9:43 p.m. |
Created at: May 3, 2026, 4:02 p.m.