Triple
T1689468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitehall Terminal |
E36517
|
entity |
| Predicate | fareForFerry |
P12539
|
FINISHED |
| Object | free |
—
|
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: free | Statement: [Whitehall Terminal, fareForFerry, free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareForFerry Context triple: [Whitehall Terminal, fareForFerry, free]
-
A.
hasFerryService
Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
-
B.
fare
chosen
Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
-
C.
hasFerryPort
Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
-
D.
fareCalculation
Indicates the process or method used to determine the monetary cost of a trip or service based on specified pricing rules and conditions.
-
E.
ferryRange
Indicates the maximum distance an aircraft can fly without payload or passengers, typically with full fuel, under specified conditions.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.