Triple
T38296523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spuyten Duyvil junction |
E1032101
|
entity |
| Predicate | currentFreightOperator |
P39220
|
FINISHED |
| Object | CSX Transportation |
—
|
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: CSX Transportation | Statement: [Spuyten Duyvil junction, currentFreightOperator, CSX Transportation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentFreightOperator Context triple: [Spuyten Duyvil junction, currentFreightOperator, CSX Transportation]
-
A.
shipOperator
Indicates the entity that is responsible for operating, managing, or running a ship.
-
B.
freightOperatorOnCorridor
chosen
Indicates that a particular freight operator provides services or operates along a specified transport corridor.
-
C.
transportOperator
Indicates that an entity is responsible for operating or managing the transportation of people or goods between locations.
-
D.
operatedFreightServiceIn
Indicates that an entity operated a freight transportation service within or across the specified geographic area or route.
-
E.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
- 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_69f76e0f2084819091299d021625c3fe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:30 p.m.