Triple
T15481441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidzbark Warmiński |
E376926
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | NLI |
E783875
|
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: NLI | Statement: [Lidzbark Warmiński, vehicleRegistrationCode, NLI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NLI Context triple: [Lidzbark Warmiński, vehicleRegistrationCode, NLI]
-
A.
NLI
chosen
NLI is the vehicle registration code used on license plates for cars registered in Orneta, Poland.
-
B.
NLC
NLC is the National Rail station code for New London Union Station in New London, Connecticut.
-
C.
NLC
NLC is an abbreviation commonly used for the National Labor College, a former U.S. institution dedicated to higher education and training for labor union members and leaders.
-
D.
NNL
NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
-
E.
NNL
NNL is the commonly used abbreviation for the Nigeria National League, the second-tier professional football league in Nigeria.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0d6ef0819091623de2888a7101 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.