Triple
T18751302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARB–KBR |
E458531
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ARB–KBR |
—
|
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: ARB–KBR | Statement: [ARB–KBR, abbreviation, ARB–KBR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARB–KBR Context triple: [ARB–KBR, abbreviation, ARB–KBR]
-
A.
ARB–KBR
chosen
ARB–KBR is the commonly used abbreviation for Belgium’s Royal Academy of Science, Letters and Fine Arts, a leading national institution dedicated to the advancement of scholarly and artistic pursuits.
-
B.
KAB
KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
-
C.
BKR
BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
-
D.
BKR
BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
-
E.
BKR
BKR is the station code for Beckenham Road tram stop on the Tramlink network in south London, England.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579ed4e6881908791f2a6250010a6 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.