Triple
T14078432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Ferries |
E338799
|
entity |
| Predicate | operatorContractModel |
P405
|
FINISHED |
| Object | franchise |
—
|
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: franchise | Statement: [Sydney Ferries, operatorContractModel, franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorContractModel Context triple: [Sydney Ferries, operatorContractModel, franchise]
-
A.
contractUnit
Indicates that one entity serves as a contractual unit or party within a contract relationship involving another entity.
-
B.
typeOfContract
chosen
Indicates the specific kind or category of contractual agreement that applies between the related entities.
-
C.
contractFeature
Indicates that one entity is a feature, term, or provision that is included in or associated with a particular contract.
-
D.
contractValue
Indicates the monetary worth or agreed-upon financial amount specified in a contract between parties.
-
E.
hasContractWith
Indicates that one entity is bound by a formal contract or agreement with another entity.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.