Triple
T12227236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poros |
E291383
|
entity |
| Predicate | transportTypeOnIsland |
P62151
|
FINISHED |
| Object | taxis |
—
|
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: taxis | Statement: [Poros, transportTypeOnIsland, taxis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportTypeOnIsland Context triple: [Poros, transportTypeOnIsland, taxis]
-
A.
mainTransportOnIsland
chosen
Indicates that a given mode of transport is the primary or most commonly used means of transportation on a particular island.
-
B.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
C.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
D.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
E.
hasFerryType
Indicates that an entity (such as a ferry route or service) is associated with a specific type or category of ferry.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.