Triple
T18881207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KAMPI |
E461830
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | KAMPI |
E461830
|
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: KAMPI | Statement: [KAMPI, acronym, KAMPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAMPI Context triple: [KAMPI, acronym, KAMPI]
-
A.
KAMPI
chosen
KAMPI is a Philippine political party closely associated with former President Gloria Macapagal Arroyo and her administration.
-
B.
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.
-
C.
KAMA
KAMA is the ICAO airport code for Rick Husband Amarillo International Airport, a public airport serving Amarillo, Texas.
-
D.
Kam
Kam is an American rapper known for his politically conscious lyrics and affiliation with the West Coast hip-hop scene.
-
E.
Kam
Kam is the name of an ethnic group in China and Southeast Asia, also known as the Dong people, who are recognized for their distinct Kam–Sui language and rich traditional culture.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d2028481908af2b1560312e26c |
completed | April 20, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575c4f044819086125edb8d0f07ca |
completed | May 14, 2026, 7:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.