Triple
T25205018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longview station (Amtrak) |
E631226
|
entity |
| Predicate | primaryRailServiceOperator |
P121930
|
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: [Longview station (Amtrak), primaryRailServiceOperator, Amtrak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRailServiceOperator Context triple: [Longview station (Amtrak), primaryRailServiceOperator, Amtrak]
-
A.
hasRailTransportOperator
chosen
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
B.
primaryPassengerOperatorOnRoute
Indicates that an operator is the main provider of passenger services on a specific route.
-
C.
isRailServiceOf
Indicates that a particular rail service operates for, belongs to, or is provided by a specified entity (such as a route, operator, or network).
-
D.
formerRailOperator
Indicates that an entity previously operated a rail service or railway system but no longer does so.
-
E.
railOperatorBeneficiary
Indicates that a rail operator is the beneficiary of some benefit, service, right, or outcome provided by another party or arrangement.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 21, 2026, 12:52 p.m.