Triple
T17298432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Burns |
E419971
|
entity |
| Predicate | modeOfTransportSpecialization |
P1379
|
FINISHED |
| Object | steamship |
—
|
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: steamship | Statement: [George Burns, modeOfTransportSpecialization, steamship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTransportSpecialization Context triple: [George Burns, modeOfTransportSpecialization, steamship]
-
A.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
C.
isTransportationType
Indicates that one entity functions as a mode or category of transportation for the other entity.
-
D.
transportRole
Indicates that an entity participates in a transportation process with a specific functional role (e.g., carrier, passenger, cargo, or operator).
-
E.
transportationCharacteristic
Indicates a specific property, feature, or quality that characterizes a mode, means, or instance of transportation.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f82788819088ea796850552297 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.