Triple
T49637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFC |
E975
|
entity |
| Predicate | numberOfDivisions |
P1905
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [AFC, numberOfDivisions, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDivisions Context triple: [AFC, numberOfDivisions, 4]
-
A.
hasNumberOfDivisions
chosen
Indicates the relationship that specifies how many divisions or subunits an entity possesses.
-
B.
hasDivisionLevel
Indicates that one entity is associated with a specific hierarchical or organizational division level of another entity.
-
C.
divisionTitle
Indicates the formal name or title assigned to a specific division within a larger organization or structure.
-
D.
numberOfDistricts
Indicates the total count of districts associated with a given entity or area.
-
E.
division
Indicates a relationship where one entity is separated or partitioned into parts, groups, or sections based on some criterion or operation.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b6c9eb88190b2fe85e427f4177a |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac0fb088190b7a5e87817e8e747 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.