Triple
T10635072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings County |
E250557
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object | Armona |
E875271
|
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: Armona | Statement: [Kings County, hasUnincorporatedCommunity, Armona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armona Context triple: [Kings County, hasUnincorporatedCommunity, Armona]
-
A.
Armona
chosen
Armona is a small unincorporated community located in California’s San Joaquin Valley.
-
B.
Anadia
Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
-
C.
Greer
Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
-
D.
Greer
Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
-
E.
Dormont
Dormont is a small residential borough in Allegheny County, Pennsylvania, located just southwest of Pittsburgh.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfac70f481908363f9ac0b651fbe |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a3e0e1481909c277be4c12b46ea |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:03 p.m.