Triple
T1770217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RER D |
E38856
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object | Z 20500 |
E86081
|
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 20500 | Statement: [RER D, usesRollingStock, Z 20500]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Z 20500 Context triple: [RER D, usesRollingStock, Z 20500]
-
A.
Z 20500 EMU
chosen
The Z 20500 EMU is a class of double-deck electric multiple unit trains operated by SNCF in the Paris suburban network, notably on lines such as the RER.
-
B.
Z/28
The Z/28 is a high-performance, track-focused variant of the Chevrolet Camaro known for its enhanced handling, braking, and power.
-
C.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
D.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
-
E.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648eb9488190b1be2d2b6d259634 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9936f5881909b78bda48039916a |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.