Triple
T24977689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix Park park and ride |
E625070
|
entity |
| Predicate | transportModeLinked |
P86086
|
FINISHED |
| Object | tram |
—
|
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: tram | Statement: [Phoenix Park park and ride, transportModeLinked, tram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportModeLinked Context triple: [Phoenix Park park and ride, transportModeLinked, tram]
-
A.
transportLinkType
Indicates the specific kind of transportation connection or route that exists between two locations or transport nodes.
-
B.
transportModeIntegration
Indicates that different modes of transportation are coordinated or combined to enable seamless or efficient movement within a journey or transport system.
-
C.
transportModePresent
chosen
Indicates that a particular mode of transportation is involved or available in the described context or event.
-
D.
hasTransportationRelation
Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
-
E.
transportationLinksTo
Indicates that there is a transportation connection or route enabling movement or travel between the two entities.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 18, 2026, 6:02 a.m.