Triple
T27389160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nambu Line |
E691470
|
entity |
| Predicate | hasTrainProtection |
P90154
|
FINISHED |
| Object | ATS-P |
—
|
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: ATS-P | Statement: [Nambu Line, hasTrainProtection, ATS-P]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainProtection Context triple: [Nambu Line, hasTrainProtection, ATS-P]
-
A.
trainProtection
chosen
Indicates that one entity provides safety measures or defensive mechanisms for a train during its operation.
-
B.
hasAutomaticTrainControlCompatibility
Indicates that an entity is compatible with, or supports integration with, an automatic train control (ATC) system.
-
C.
hasRail
Indicates that something is equipped with, includes, or is connected to a rail or rail system.
-
D.
railwaySecured
Indicates that a railway or rail line has been made safe, protected, or brought under control, ensuring secure passage or operation.
-
E.
hasLNGTrain
Indicates that something possesses or is equipped with an LNG (liquefied natural gas) processing or transport train as part of its facilities or infrastructure.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 27, 2026, 12:25 p.m.