Triple
T8962258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Neu-Ulm |
E214034
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | ILL |
E113094
|
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: ILL | Statement: [Landkreis Neu-Ulm, vehicleRegistrationCode, ILL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ILL Context triple: [Landkreis Neu-Ulm, vehicleRegistrationCode, ILL]
-
A.
Ill
chosen
The Ill is a river in northeastern France that flows through the Alsace region, including the city of Strasbourg, before joining the Rhine.
-
B.
ILLK
ILLK is the railway station code assigned to Łódź Kaliska, a major train station in Łódź, Poland.
-
C.
IRE
IRE is the three-letter World Rugby code representing the Ireland national rugby union team.
-
D.
IED
IED is the Independent Evaluation Department, an autonomous body that assesses and reports on the performance and effectiveness of an organization’s policies, programs, and operations.
-
E.
INE
INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6749e5008190a01f42a2e772dd54 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc94e088881909506b229d1fff44a |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.