Triple
T12251103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orléans tramway |
E291971
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Saint-Jean-de-la-Ruelle |
E835605
|
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: Saint-Jean-de-la-Ruelle | Statement: [Orléans tramway, connects, Saint-Jean-de-la-Ruelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Jean-de-la-Ruelle Context triple: [Orléans tramway, connects, Saint-Jean-de-la-Ruelle]
-
A.
Saint-Jean-de-la-Ruelle
chosen
Saint-Jean-de-la-Ruelle is a suburban commune in north-central France, located near the city of Orléans in the Centre-Val de Loire region.
-
B.
Montreuil-Bellay
Montreuil-Bellay is a historic commune in western France’s Maine-et-Loire department, known for its medieval architecture and prominent château overlooking the Thouet River.
-
C.
Saint-Jean-d'Heurs
Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
-
D.
Rillieux-la-Pape
Rillieux-la-Pape is a suburban commune in eastern France, located near Lyon in the Rhône department.
-
E.
Chevilly-Larue
Chevilly-Larue is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes and facilities.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc6983c81909bf479d15879a357 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685045cc8190836433b5682d8a7a |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:52 p.m.