Triple
T25818514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirrin Bay |
E650330
|
entity |
| Predicate | travelModeToKirrinIsland |
P117172
|
FINISHED |
| Object | rowboat |
—
|
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: rowboat | Statement: [Kirrin Bay, travelModeToKirrinIsland, rowboat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelModeToKirrinIsland Context triple: [Kirrin Bay, travelModeToKirrinIsland, rowboat]
-
A.
mainTransportOnIsland
Indicates that a given mode of transport is the primary or most commonly used means of transportation on a particular island.
-
B.
transportModeTo
chosen
Indicates the means or mode of transportation used to travel to a specified destination.
-
C.
Kon-TikiDeparturePoint
Indicates the location from which the Kon-Tiki expedition set out or departed.
-
D.
transportationToVillage
Indicates a relationship where someone or something is being transported or conveyed to a village as the destination.
-
E.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600cb37f081908ad2ea805c555876 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 7:27 a.m.