Triple
T12726520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Września |
E304121
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | PWR |
E431222
|
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: PWR | Statement: [Września, vehicleRegistrationCode, PWR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PWR Context triple: [Września, vehicleRegistrationCode, PWR]
-
A.
PWR
PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
-
B.
PWRR
PWRR is a line infantry regiment of the British Army, known as the Princess of Wales's Royal Regiment.
-
C.
PWr
chosen
PWr is the commonly used abbreviation for Wrocław University of Science and Technology, a major technical university in Wrocław, Poland.
-
D.
PW
PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
-
E.
PW
PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96415ebe48190ae935bc3a9b00f65 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c884bd08190bf0022e8303a4987 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.