Triple
T6301346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq–Saudi Arabia border area |
E141260
|
entity |
| Predicate | ethnicGroupsInSurroundingAreas |
P43212
|
FINISHED |
| Object | Arabs |
—
|
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: Arabs | Statement: [Iraq–Saudi Arabia border area, ethnicGroupsInSurroundingAreas, Arabs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicGroupsInSurroundingAreas Context triple: [Iraq–Saudi Arabia border area, ethnicGroupsInSurroundingAreas, Arabs]
-
A.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
B.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
C.
ethnicGroupsAlongBorder
chosen
Indicates that the entities share or are associated with ethnic groups that live in regions adjacent to a specified border.
-
D.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
-
E.
ethnicGroupResearched
Indicates that a particular ethnic group is the subject or focus of a research activity or study conducted by 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645bb41481909294b06e2b3e1845 |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:27 p.m.