Triple
T34854726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheikh Abdullah Yamani |
E1004697
|
entity |
| Predicate | hasEthnicOrGeographicOrigin |
P159764
|
FINISHED |
| Object | Yemeni |
—
|
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: Yemeni | Statement: [Sheikh Abdullah Yamani, hasEthnicOrGeographicOrigin, Yemeni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicOrGeographicOrigin Context triple: [Sheikh Abdullah Yamani, hasEthnicOrGeographicOrigin, Yemeni]
-
A.
hasEthnicOrRegionalOrigin
chosen
Indicates that an entity originates from, or is associated with, a particular ethnic group or geographic region.
-
B.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
C.
hasTypicalGeographicOrigin
Indicates that an entity is commonly or characteristically associated with originating from a particular geographic location.
-
D.
raceOfOrigin
Indicates the racial or ethnic group from which an entity originally comes or is derived.
-
E.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4 p.m.