Triple
T10847460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Line N |
E256049
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | Z 8800 |
E84014
|
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 8800 | Statement: [Transilien Line N, rollingStock, Z 8800]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Z 8800 Context triple: [Transilien Line N, rollingStock, Z 8800]
-
A.
Z 5600
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.
Z 8800 EMU
chosen
The Z 8800 EMU is a class of French electric multiple unit trains operated by SNCF, primarily used for suburban commuter services in the Paris region.
-
D.
Z84C00
The Z84C00 is the CMOS low-power, high-speed version of the classic Zilog Z80 8-bit microprocessor, widely used in embedded and legacy computing systems.
-
E.
Zen 5
Zen 5 is AMD’s next-generation CPU microarchitecture designed to power high-performance processors across server, desktop, and mobile platforms.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75113bc188190ac78df0c51d95de6 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb170e714819097babb2b850342d2 |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.