Triple
T34758412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ita Merin |
E1001994
|
entity |
| Predicate | geoCulturalRegion |
P1968
|
FINISHED |
| Object | Yorubaland |
—
|
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: Yorubaland | Statement: [Ita Merin, geoCulturalRegion, Yorubaland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geoCulturalRegion Context triple: [Ita Merin, geoCulturalRegion, Yorubaland]
-
A.
culturalRegion
chosen
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
B.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
-
C.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
D.
geopoliticalRegion
Indicates a relationship where an entity is a defined political or administrative geographic area, such as a country, state, province, or similar region.
-
E.
worldRegion
Indicates that one entity is a geographic region that encompasses, contains, or is associated with the other entity within the world.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.