Triple
T4201710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orly Sud |
E86080
|
entity |
| Predicate | connectedTo |
P37
|
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 Sud, connectedTo, tramway T7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tramway T7 Context triple: [Orly Sud, connectedTo, 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 T7
Tramway T7 is a light rail line in the Paris metropolitan area that connects the southern suburbs, including Orly Airport, to the wider Île-de-France public transport network.
-
C.
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.
-
D.
tramway T8
Tramway T8 is a light rail line in the Île-de-France tram network that connects northern suburbs, including Saint-Denis, to the Paris metropolitan area.
-
E.
Tramway T13 Express
Tramway T13 Express is a regional express tram-train line in the Île-de-France area that connects suburban communities with Paris’s wider public transport network.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a14eda88190aaca14644c3e041a |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:49 p.m.