Triple
T271235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunset Limited |
E5636
|
entity |
| Predicate | directionalOperation |
P9946
|
FINISHED |
| Object | eastbound |
—
|
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: eastbound | Statement: [Sunset Limited, directionalOperation, eastbound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionalOperation Context triple: [Sunset Limited, directionalOperation, eastbound]
-
A.
typeOfOperation
Indicates the specific kind or category of operation being performed or referenced in a given context.
-
B.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
C.
operation
Indicates that one entity performs, carries out, or controls the functioning of another entity or system.
-
D.
associatedOperation
Indicates that one entity is linked to or involved with a particular operation, process, or activity.
-
E.
operator
Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
- F. None of above. chosen
Provenance (4 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e68f0408190bfc851c32d6eebf3 |
completed | Feb. 28, 2026, 3:18 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.