Triple
T525520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Orly Airport |
E10907
|
entity |
| Predicate | hasPublicTransportConnection |
P3791
|
FINISHED |
| Object | tramway T7 |
E10911
|
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: tramway T7 | Statement: [Paris Orly Airport, hasPublicTransportConnection, tramway T7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tramway T7 Context triple: [Paris Orly Airport, hasPublicTransportConnection, tramway T7]
-
A.
tramway T7
chosen
Tramway T7 is a light rail line in the Paris Île-de-France network that links the southern suburbs, including Orly Airport, to the city’s broader public transport system.
-
B.
Tramway de Reims
Tramway de Reims is the modern light rail tram system serving the city of Reims in northeastern France, providing urban public transportation across the metropolitan area.
-
C.
M5000 tram
The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
-
D.
Trolebús
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
E.
Tram Izmir
Tram Izmir is a modern light rail tram network serving the Turkish city of İzmir as part of its urban public transportation system.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b7f448819087e5e7f3b37d7142 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23f97448190bd85a8c85d338039 |
completed | March 1, 2026, 9:40 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.