Triple
T21942977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enping |
E541866
|
entity |
| Predicate | hasNotableCommunityAbroad |
P70257
|
FINISHED |
| Object | overseas Chinese in the United States |
—
|
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: overseas Chinese in the United States | Statement: [Enping, hasNotableCommunityAbroad, overseas Chinese in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCommunityAbroad Context triple: [Enping, hasNotableCommunityAbroad, overseas Chinese in the United States]
-
A.
largestCommunityAbroadIn
Indicates that a given country or group has its largest expatriate or diaspora community located in a specified foreign country.
-
B.
livedAbroadAsChild
Indicates that a person spent part of their childhood residing in a foreign country.
-
C.
hasImmigrantCommunitiesFrom
chosen
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
D.
hasStudyAbroad
Indicates that an entity has participated in or completed a study-abroad experience in another country.
-
E.
hasNotableInternationalRecognition
Indicates that an entity has received significant recognition, awards, or acclaim from international organizations, audiences, or institutions.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:56 p.m.