Triple
T16040726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMA |
E389086
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | KMA |
E979413
|
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: KMA | Statement: [KMA, abbreviation, KMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMA Context triple: [KMA, abbreviation, KMA]
-
A.
KMA
chosen
KMA is the commonly used abbreviation for the Kolkata Metropolitan Area, a major urban agglomeration centered on the city of Kolkata in eastern India.
-
B.
KMA
KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
-
C.
KAM
KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
-
D.
KMF
KMF is the ISO 4217 currency code for the Comorian franc, the official monetary unit of the Comoros.
-
E.
KMSKA
KMSKA is the Royal Museum of Fine Arts in Antwerp, renowned for its extensive collection of Flemish and Belgian art spanning several centuries.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18340686881909135fc43a0a71b20 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd77c5481908644742a8a8f3e68 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.