Triple
T20314399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICE 1 |
E510341
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Duewag |
—
|
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: Duewag | Statement: [ICE 1, manufacturer, Duewag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duewag Context triple: [ICE 1, manufacturer, Duewag]
-
A.
Duewag
chosen
Duewag was a prominent German manufacturer of trams and light rail vehicles, widely used in many European public transport systems.
-
B.
Deino
Deino is one of the three Graeae in Greek mythology, ancient sea-daimones who shared a single eye and tooth among them and served as prophetic guardians.
-
C.
Merriwagga
Merriwagga is a small rural town in New South Wales, Australia, known for its grain farming and location in the Riverina region.
-
D.
Zebilla
Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
-
E.
Everardus
Everardus is a Latinized given name historically used in medieval and early modern Europe, derived from the Germanic name Everard.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67745e2448190b5611382fe338bb2 |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:19 a.m.