Triple
T33830309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneina area |
E867078
|
entity |
| Predicate | regionOfInterestTo |
P199600
|
FINISHED |
| Object | humanitarian organizations |
—
|
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: humanitarian organizations | Statement: [Geneina area, regionOfInterestTo, humanitarian organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfInterestTo Context triple: [Geneina area, regionOfInterestTo, humanitarian organizations]
-
A.
regionOfInterest
Indicates a specifically defined spatial or conceptual area that is selected for focused attention, analysis, or processing within a broader context.
-
B.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
C.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
D.
selectionRegion
Indicates a relationship where a specific region or area is designated as the active selection within a larger space or context.
-
E.
regionOfRecognition
Indicates the geographic or administrative area within which something is officially acknowledged, valid, or recognized.
- F. None of above. chosen
Provenance (4 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
| PDg | Predicate description generation | batch_69ff4818bb288190b4a27576fad18e23 |
completed | May 9, 2026, 2:43 p.m. |
Created at: May 1, 2026, 1:46 a.m.