Triple
T20218523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Zephyr |
E495188
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | DZ |
—
|
NE NERFINISHED |
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: DZ | Statement: [Denver Zephyr, nickname, DZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DZ Context triple: [Denver Zephyr, nickname, DZ]
-
A.
DZ
chosen
DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
-
B.
Dz
Dz is the official station code used to identify Delfzijl railway station in the Netherlands.
-
C.
DZG
DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
-
D.
Ddz
Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
-
E.
DIZ
DIZ is the vehicle registration code used on license plates for vehicles registered in the town of Diez in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edaeeb08190bb74bd4a10aceca2 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.