Triple
T14605964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnataka Legislative Assembly |
E342829
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | KLA |
E342829
|
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: KLA | Statement: [Karnataka Legislative Assembly, abbreviation, KLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLA Context triple: [Karnataka Legislative Assembly, abbreviation, KLA]
-
A.
KLA
KLA is an ethnic Albanian paramilitary organization that fought for Kosovo’s independence from Serbia in the late 1990s.
-
B.
KLA
chosen
KLA is the commonly used abbreviation for the Karnataka Legislative Assembly, the lower house of the state legislature in Karnataka, India.
-
C.
KLAC
KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
-
D.
KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
-
E.
KLA Corporation
KLA Corporation is a leading American company that provides process control and yield management systems for the semiconductor and related nanoelectronics industries.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94d09e988190a2a2a1332397b412 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.