Triple
T12770247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Central Railroad |
E305227
|
entity |
| Predicate | hasSuccessorLine |
P10969
|
FINISHED |
| Object | CSX Transportation main line (indirectly via C&O) |
—
|
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: CSX Transportation main line (indirectly via C&O) | Statement: [Virginia Central Railroad, hasSuccessorLine, CSX Transportation main line (indirectly via C&O)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorLine Context triple: [Virginia Central Railroad, hasSuccessorLine, CSX Transportation main line (indirectly via C&O)]
-
A.
successorLine
chosen
Indicates that one line directly follows another in a sequence or ordered arrangement.
-
B.
hasSuccessorSegment
Indicates that one segment directly follows another segment in a sequence or ordered structure.
-
C.
hasMoreAggressiveSuccessor
Indicates that one entity is followed or replaced by another entity that exhibits a higher level of aggressiveness in behavior, strategy, or effect.
-
D.
hasSuccessorTitleHolder
Indicates that one entity is the next title holder or office bearer succeeding another entity in a given position or title.
-
E.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.