Triple
T8542971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmetto |
E202240
|
entity |
| Predicate | sleepingCarsAvailable |
P72560
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Palmetto, sleepingCarsAvailable, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sleepingCarsAvailable Context triple: [Palmetto, sleepingCarsAvailable, no]
-
A.
trainsOn
Indicates that one entity receives training, instruction, or practice using or based on another entity (such as a resource, dataset, tool, or subject).
-
B.
hasSleeperBerths
chosen
Indicates that an object (typically a vehicle) is equipped with one or more sleeper berths for occupants to rest or sleep.
-
C.
hasRollingStockOnDisplay
Indicates that a location or entity has railway rolling stock (such as locomotives or carriages) exhibited for public viewing.
-
D.
vehiclesPerTrain
Indicates the number of vehicles that are attached to or make up a single train.
-
E.
trains
Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e381d4819084e230389a3ecb77 |
completed | March 31, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:18 p.m.