Triple
T6959107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Camp, California |
E161321
|
entity |
| Predicate | ethnicCommunityOrigin |
P194
|
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: [Chinese Camp, California, ethnicCommunityOrigin, Chinese immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCommunityOrigin Context triple: [Chinese Camp, California, ethnicCommunityOrigin, Chinese immigrants]
-
A.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
C.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
D.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
-
E.
originalHomeland
Indicates the place or region that is considered the ancestral or earliest homeland of an entity.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daedbb4c8190b46846fb1265b937 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.