Triple
T10311224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Line R |
E241893
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | Z 5600 |
E726444
|
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: Z 5600 | Statement: [Transilien Line R, rollingStock, Z 5600]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Z 5600 Context triple: [Transilien Line R, rollingStock, Z 5600]
-
A.
Z 5600
chosen
Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
-
B.
Z 6400
Z 6400 is a class of French electric multiple unit trains operated by SNCF for suburban commuter services around Paris.
-
C.
Zen 5
Zen 5 is AMD’s next-generation CPU microarchitecture designed to power high-performance processors across server, desktop, and mobile platforms.
-
D.
Zen 2
Zen 2 is AMD’s second-generation Ryzen/EPYC CPU microarchitecture, known for its 7 nm process, significant IPC gains, and strong multi-core performance in desktops and servers.
-
E.
Z 50000 (Francilien)
The Z 50000, known as the Francilien, is a modern electric multiple unit train used for suburban and regional passenger services in the Île-de-France region around Paris.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32ac6c08190b23eb042b3ec284a |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d78ece88190885768c979b038df |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:47 a.m.