Triple
T3141661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orly |
E65659
|
entity |
| Predicate | hasTransportConnection |
P845
|
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: [Orly, hasTransportConnection, Tramway T7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tramway T7 Context triple: [Orly, hasTransportConnection, Tramway T7]
-
A.
Tramway T2
Tramway T2 is a Paris-region light rail line connecting La Défense to Porte de Versailles via western suburbs such as Saint-Cloud.
-
B.
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.
-
C.
Alstom Citadis tram
The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
-
D.
SL79 tram
The SL79 tram is a class of articulated light rail vehicles used for passenger service on the Oslo Tramway network in Norway.
-
E.
T-68 tram
The T-68 tram was a type of light rail vehicle used on Greater Manchester’s Metrolink system in the UK before being replaced by newer models.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57895dc8190bd3d4ef9391973dc |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e4df38819089d0a11016a85ad8 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.