Triple
T2429760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mersey Ferry |
E52813
|
entity |
| Predicate | hasOnboardFacility |
P36407
|
FINISHED |
| Object | café |
—
|
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: café | Statement: [Mersey Ferry, hasOnboardFacility, café]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnboardFacility Context triple: [Mersey Ferry, hasOnboardFacility, café]
-
A.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
B.
hasOnboardFeature
chosen
Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
-
C.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
D.
ownsFacilityOn
Indicates that one entity possesses ownership or control over a facility located on or associated with another entity (such as a site, property, or area).
-
E.
hasOnboardButton
Indicates that one entity is equipped with or includes a button installed on or within it.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.