Triple
T1988506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemeni corner |
E43195
|
entity |
| Predicate | cornerType |
P26784
|
FINISHED |
| Object | one of the four corners of the Kaaba |
—
|
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: one of the four corners of the Kaaba | Statement: [Yemeni corner, cornerType, one of the four corners of the Kaaba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cornerType Context triple: [Yemeni corner, cornerType, one of the four corners of the Kaaba]
-
A.
locatedAtCornerOf
chosen
Indicates that one entity is positioned at or forms the corner where two or more boundaries, edges, or intersecting paths meet.
-
B.
cornerOfTriangle
Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
-
C.
ridgeType
Indicates the specific morphological or structural category that a ridge belongs to within a classification of ridge forms.
-
D.
borderColor
Indicates the color that forms the boundary or outline of an entity.
-
E.
coneType
Indicates the specific category or style of cone associated with an entity (e.g., type, shape, or design of the cone).
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.