Triple
T5786516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Buses |
E128280
|
entity |
| Predicate | modeOf |
P50872
|
FINISHED |
| Object | public transport in London |
—
|
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: public transport in London | Statement: [London Buses, modeOf, public transport in London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOf Context triple: [London Buses, modeOf, public transport in London]
-
A.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
B.
mode
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
C.
modeADescription
Indicates the descriptive text or explanation associated with a particular mode of operation or state.
-
D.
modeBDescription
Indicates the descriptive label or explanation associated with a specific operational or behavioral mode B.
-
E.
modalityOf
chosen
Indicates that one element specifies the manner, mood, or mode in which the action, event, or state expressed by another element is realized or presented.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a1c29d48190af36cc855bb491dd |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.