Triple
T9732280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Line L |
E235973
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object |
Z 6400
Z 6400 is a class of French electric multiple unit trains operated by SNCF for suburban commuter services around Paris.
|
E816344
|
NE FINISHED |
How this triple was built (4 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 6400 | Statement: [Transilien Line L, usesRollingStock, Z 6400]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Z 6400 Context triple: [Transilien Line L, usesRollingStock, Z 6400]
-
A.
Z 5600
Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
-
B.
Zen 5
Zen 5 is AMD’s next-generation CPU microarchitecture designed to power high-performance processors across server, desktop, and mobile platforms.
-
C.
SX-64
The SX-64 is a portable, luggable version of the Commodore 64 home computer that features a built-in color monitor and floppy disk drive.
-
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.
R4000
The R4000 is a 64-bit MIPS microprocessor that introduced a new generation of high-performance, RISC-based CPU designs widely used in workstations and servers in the early 1990s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Z 6400 Triple: [Transilien Line L, usesRollingStock, Z 6400]
Generated description
Z 6400 is a class of French electric multiple unit trains operated by SNCF for suburban commuter services around Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Z 6400 Target entity description: Z 6400 is a class of French electric multiple unit trains operated by SNCF for suburban commuter services around Paris.
-
A.
Z 5600
Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
-
B.
Zen 5
Zen 5 is AMD’s next-generation CPU microarchitecture designed to power high-performance processors across server, desktop, and mobile platforms.
-
C.
SX-64
The SX-64 is a portable, luggable version of the Commodore 64 home computer that features a built-in color monitor and floppy disk drive.
-
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.
R4000
The R4000 is a 64-bit MIPS microprocessor that introduced a new generation of high-performance, RISC-based CPU designs widely used in workstations and servers in the early 1990s.
- F. None of above. chosen
Provenance (5 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb3d6e4819090b3c7fb92550c57 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fbbba2081909a15725a68423162 |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a065ce008190985b792302daa7cb |
completed | April 4, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0f811fc8190b6a46a0441159089 |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:22 p.m.