Triple
T19620512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scharnitz |
E470992
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | IL |
—
|
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: IL | Statement: [Scharnitz, vehicleRegistrationCode, IL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IL Context triple: [Scharnitz, vehicleRegistrationCode, IL]
-
A.
IL
IL is the two-letter ISO 3166-1 alpha-2 country code assigned to Israel for international standardization and data representation.
-
B.
IL
IL is the vehicle registration code used on license plates for County Fermanagh in Northern Ireland.
-
C.
IL
IL is the standard two-letter postal abbreviation for the U.S. state of Illinois.
-
D.
IL
chosen
IL is the vehicle registration code assigned to the Austrian municipality of Neustift im Stubaital in the state of Tyrol.
-
E.
IL
IL is the vehicle registration code used for the district encompassing the Slovak town of Dubnica nad Váhom.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e512d08190a76bf81b3282e0e5 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:43 p.m.