Triple
T6940444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmer National Armed Forces |
E160658
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | FANK |
E628701
|
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: FANK | Statement: [Khmer National Armed Forces, alsoKnownAs, FANK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FANK Context triple: [Khmer National Armed Forces, alsoKnownAs, FANK]
-
A.
FANK
chosen
FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
-
B.
Frank-N-Dank
Frank-N-Dank is a Detroit hip hop duo known for their close collaboration with producer J Dilla and their raw, energetic underground rap style.
-
C.
Funka
Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
-
D.
Fu
Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
-
E.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da65d4788190a83625f96c867ffe |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75861cd548190a215d616b68101d9 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:28 p.m.