Triple
T18341001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gossops Green |
E439399
|
entity |
| Predicate | servedByBusOperator |
P14541
|
FINISHED |
| Object | Metrobus |
—
|
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: Metrobus | Statement: [Gossops Green, servedByBusOperator, Metrobus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metrobus Context triple: [Gossops Green, servedByBusOperator, Metrobus]
-
A.
Metrobus
Metrobus is Miami-Dade County’s primary public bus system, providing extensive local and regional transit service throughout the Greater Miami area.
-
B.
Metrobus
Metrobus is the public bus transit system serving the Washington, D.C. metropolitan area, operated alongside the Metrorail network by the Washington Metropolitan Area Transit Authority (WMATA).
-
C.
Metrobus
Metrobus is Istanbul’s bus rapid transit system that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
-
D.
Metrobus
Metrobus is Istanbul’s dedicated bus rapid transit system that runs on exclusive lanes to provide fast, high-capacity public transportation across the city.
-
E.
Metrobus
chosen
Metrobus is a British bus operator providing local and regional bus services, primarily in Southeast England.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed146fc819092b08cb91defb03b |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.