Triple
T35183281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loniu Passage |
E1015911
|
entity |
| Predicate | hasEthnicGroupInVicinity |
P139568
|
FINISHED |
| Object | Loniu people |
—
|
NE NERFINISHED |
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: Loniu people | Statement: [Loniu Passage, hasEthnicGroupInVicinity, Loniu people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicGroupInVicinity Context triple: [Loniu Passage, hasEthnicGroupInVicinity, Loniu people]
-
A.
nearEthnicGroup
chosen
Indicates that one entity is located geographically close to an ethnic group.
-
B.
mayBelongToEthnicGroup
Indicates that an entity is possibly, but not certainly, a member of a specified ethnic group.
-
C.
containedEthnicGroup
Indicates that one entity (typically a larger group, region, or population) includes or encompasses a particular ethnic group within it.
-
D.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
E.
commonInEthnicGroup
Indicates that something (such as a trait, condition, or characteristic) occurs with notable frequency within a specified ethnic group.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:02 p.m.