Triple
T14561712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robertsau |
E341681
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | CTS bus network |
E1106665
|
NE 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: CTS bus network | Statement: [Robertsau, hasTransportConnection, CTS bus network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTS bus network Context triple: [Robertsau, hasTransportConnection, CTS bus network]
-
A.
CTS bus network
chosen
The CTS bus network is the public bus transportation system serving Strasbourg and its surrounding metropolitan area in northeastern France.
-
B.
STAR bus network
The STAR bus network is the primary public bus system serving Rennes and its metropolitan area in France.
-
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.
CATS bus network
The CATS bus network is the primary public bus transit system serving Charlotte, North Carolina and its surrounding region.
-
E.
TheBus network
TheBus network is the public bus transportation system serving the island of Oʻahu in Honolulu County, Hawaiʻi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b4013881908fddb8b3cf8494de |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.