Triple
T23949694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chile national transport system |
E603010
|
entity |
| Predicate | ferryRegion |
P154464
|
FINISHED |
| Object | Los Lagos Region |
—
|
NE NERFINISHED |
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: Los Lagos Region | Statement: [Chile national transport system, ferryRegion, Los Lagos Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ferryRegion Context triple: [Chile national transport system, ferryRegion, Los Lagos Region]
-
A.
bodyOfWaterCrossedByFerry
Indicates that a body of water is traversed or crossed by a ferry service.
-
B.
hasFerryPort
Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
-
C.
hasFerryService
Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
-
D.
linkedByFerryTo
Indicates that one place is connected to another by a ferry route that enables transport between them.
-
E.
hasFerryComponent
Indicates that something includes or is associated with a ferry-related part, feature, or segment within its structure or operation.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d03140f08190b4356626628ff56f |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:19 p.m.