Triple
T1290410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Positive Train Control |
E27532
|
entity |
| Predicate | dataInput |
P19412
|
FINISHED |
| Object | track database |
—
|
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: track database | Statement: [Positive Train Control, dataInput, track database]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataInput Context triple: [Positive Train Control, dataInput, track database]
-
A.
input
chosen
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
B.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
-
C.
dataControl
Indicates that one entity has the authority or capability to determine how another entity’s data is collected, used, shared, or managed.
-
D.
dataStorage
Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
-
E.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d6af908190ade9c481cc6f0ad8 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.