Triple
T15749045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCTD |
E381798
|
entity |
| Predicate | COASTERIs |
P120483
|
FINISHED |
| Object | commuter rail line |
—
|
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: commuter rail line | Statement: [NCTD, COASTERIs, commuter rail line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: COASTERIs Context triple: [NCTD, COASTERIs, commuter rail line]
-
A.
coasterType
Indicates the specific category or style of a coaster that characterizes its design or function.
-
B.
rollerCoasterType
Indicates that one entity is classified as a specific type or category of roller coaster in relation to another entity.
-
C.
isFamilyCoaster
Indicates that a roller coaster is designed to be suitable and enjoyable for riders of all ages, including children and families.
-
D.
hasSimilarCoaster
Indicates that one entity possesses or is associated with a coaster that is similar in characteristics or design to a coaster possessed or associated with another entity.
-
E.
numberOfRollerCoasters
Indicates the quantity of roller coasters associated with a given entity.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:46 a.m.