Triple
T24747499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kpelle people |
E619040
|
entity |
| Predicate | mainAreaInLiberia |
P96106
|
FINISHED |
| Object | central Liberia |
—
|
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: central Liberia | Statement: [Kpelle people, mainAreaInLiberia, central Liberia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAreaInLiberia Context triple: [Kpelle people, mainAreaInLiberia, central Liberia]
-
A.
regionInLiberia
chosen
Indicates that a region is geographically located within the country of Liberia.
-
B.
areaRankInLiberia
Indicates the relative position of an entity when all entities in Liberia are ordered by their area size.
-
C.
mainAreaInBrazil
Indicates that a given area or region is the primary or most significant area located within Brazil for a specified entity or context.
-
D.
populationRankInLiberia
Indicates the relative position of an entity in terms of population size compared to other entities within Liberia.
-
E.
importanceInLibya
Indicates the degree to which something holds significance, influence, or priority within the context of Libya.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:23 a.m.