Triple
T38490428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery City Lines |
E918038
|
entity |
| Predicate | notableBusNumber |
P91439
|
FINISHED |
| Object | Bus 2857 |
—
|
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: Bus 2857 | Statement: [Montgomery City Lines, notableBusNumber, Bus 2857]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBusNumber Context triple: [Montgomery City Lines, notableBusNumber, Bus 2857]
-
A.
notableVehicleNumber
chosen
Indicates that a specific vehicle is identified as notable or significant by a particular number or identifier.
-
B.
notableTrain
Indicates that there is a train or rail service associated with the subject that is considered notable or significant in some way.
-
C.
busSystemName
Indicates that a bus system is identified or referred to by a specific name.
-
D.
hasNightBusService
Indicates that a transportation route or stop is served by buses operating during nighttime hours.
-
E.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.