Triple
T26886245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Cambridge |
E677047
|
entity |
| Predicate | hasIntercityBusService |
P39381
|
FINISHED |
| Object | GO Transit |
—
|
NE NERFINISHED |
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: GO Transit | Statement: [City of Cambridge, hasIntercityBusService, GO Transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntercityBusService Context triple: [City of Cambridge, hasIntercityBusService, GO Transit]
-
A.
hasBusServices
chosen
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
B.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
-
C.
operatesInterCityServices
Indicates that an entity runs or provides transportation services connecting different cities.
-
D.
hasNightTrainService
Indicates that a transportation route or station is served by trains that operate during nighttime hours.
-
E.
hasNightBusService
Indicates that a transportation route or stop is served by buses operating during nighttime hours.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 27, 2026, 5:42 a.m.