Triple
T26631634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanka Coffie |
E668510
|
entity |
| Predicate | primaryModeOfTransportBeforeBobsled |
P196935
|
FINISHED |
| Object | pushcart |
—
|
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: pushcart | Statement: [Sanka Coffie, primaryModeOfTransportBeforeBobsled, pushcart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryModeOfTransportBeforeBobsled Context triple: [Sanka Coffie, primaryModeOfTransportBeforeBobsled, pushcart]
-
A.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
B.
primaryBobsleighVenue
Indicates that a location serves as the main or principal venue where bobsleigh events are held for a given entity or competition.
-
C.
modeOfTransportBeforeStranding
Indicates the means of transportation an entity was using immediately prior to becoming stranded.
-
D.
bobsleighVenue
Indicates that a location serves as the venue where a bobsleigh event or activity takes place.
-
E.
sledType
Indicates the specific kind or category of sled associated with an 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
| PDg | Predicate description generation | batch_69fe6fe98e38819085100ce4c6cee5b8 |
completed | May 8, 2026, 11:21 p.m. |
Created at: April 27, 2026, 2:25 a.m.