Triple
T3206184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Michel–Notre-Dame |
E67166
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | RATP Group |
E27062
|
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: RATP Group | Statement: [Saint-Michel–Notre-Dame, ownedBy, RATP Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RATP Group Context triple: [Saint-Michel–Notre-Dame, ownedBy, RATP Group]
-
A.
RATP group
chosen
RATP Group is a major French public transport operator that manages much of the Paris metro, tram, and bus networks and provides transit services internationally.
-
B.
Urban Rail Transport S.A.
Urban Rail Transport S.A. is the public company responsible for operating and managing urban rail systems in Athens, Greece, including metro and tram services.
-
C.
Puteaux Group
The Puteaux Group was an early 20th-century circle of avant-garde artists and theorists in France who played a key role in developing and articulating Cubist ideas.
-
D.
Bouygues
Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
-
E.
Île-de-France Mobilités
Île-de-France Mobilités is the public agency responsible for organizing, coordinating, and funding public transportation services across the Paris metropolitan region.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa56c21c8190b6aa7c56cb15ad56 |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354545cd88190a4a09a247867fd34 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:07 p.m.