Triple
T20405126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kista |
E500446
|
entity |
| Predicate | hasPublicTransport |
P1288
|
FINISHED |
| Object | SL bus network |
—
|
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: SL bus network | Statement: [Kista, hasPublicTransport, SL bus network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL bus network Context triple: [Kista, hasPublicTransport, SL bus network]
-
A.
STAR bus network
The STAR bus network is the primary public bus system serving Rennes and its metropolitan area in France.
-
B.
SL buses
chosen
SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
-
C.
STM bus network
The STM bus network is the extensive system of urban bus routes serving neighborhoods across the island of Montreal as part of the city’s public transit infrastructure.
-
D.
Tan bus network
The Tan bus network is the public transportation system serving the Nantes metropolitan area in western France, operating numerous bus routes that connect surrounding communes such as Saint-Sébastien-sur-Loire.
-
E.
SMART bus network
The SMART bus network is a regional public transit system serving the Detroit metropolitan area with fixed-route and paratransit bus services across multiple suburban communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.