Triple
T28059376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinatown (Manhattan) |
E709059
|
entity |
| Predicate | foundedAsEthnicEnclaveFor |
P70257
|
FINISHED |
| Object | Chinese immigrants |
—
|
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: Chinese immigrants | Statement: [Chinatown (Manhattan), foundedAsEthnicEnclaveFor, Chinese immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsEthnicEnclaveFor Context triple: [Chinatown (Manhattan), foundedAsEthnicEnclaveFor, Chinese immigrants]
-
A.
containedEthnicGroup
Indicates that one entity (typically a larger group, region, or population) includes or encompasses a particular ethnic group within it.
-
B.
hasFounderEthnicity
Indicates that an entity has a founder whose ethnicity is the specified value.
-
C.
hasImmigrantCommunitiesFrom
chosen
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
D.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
E.
ethnicCommunityContext
Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 8:38 p.m.