Triple
T3141359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Réseau Express Régional |
E65651
|
entity |
| Predicate | ticketingSystem |
P3383
|
FINISHED |
| Object | Navigo |
E227653
|
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: Navigo | Statement: [Réseau Express Régional, ticketingSystem, Navigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navigo Context triple: [Réseau Express Régional, ticketingSystem, Navigo]
-
A.
Navigo
chosen
Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
-
B.
Outremer
Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
-
C.
Baheri
Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
-
D.
Marina
Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
-
E.
Marina
Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
- 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.