Triple
T27028442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filipino Americans |
E680850
|
entity |
| Predicate | demographicRankingInUS |
P471
|
FINISHED |
| Object | one of the largest Asian American groups |
—
|
LITERAL 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: one of the largest Asian American groups | Statement: [Filipino Americans, demographicRankingInUS, one of the largest Asian American groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicRankingInUS Context triple: [Filipino Americans, demographicRankingInUS, one of the largest Asian American groups]
-
A.
frequencyRankInUnitedStates
Indicates the relative position of something in an ordered list based on how frequently it occurs within the United States.
-
B.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
C.
rankByPopulationInUS
chosen
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
D.
populationDensityRankInUS
Indicates the relative position of a place in a ranking of U.S. locations ordered by population density.
-
E.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
- F. None of above.
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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 7:12 a.m.