Triple
T22685089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ala Ndigbo |
E560888
|
entity |
| Predicate | spatialAspect |
P149239
|
FINISHED |
| Object | Igbo ancestral land |
—
|
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: Igbo ancestral land | Statement: [Ala Ndigbo, spatialAspect, Igbo ancestral land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spatialAspect Context triple: [Ala Ndigbo, spatialAspect, Igbo ancestral land]
-
A.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
B.
aspectRatioWidth
Indicates the proportional width component in an aspect ratio relationship between dimensions.
-
C.
typicalAspect
Indicates that something represents a characteristic or commonly occurring aspect of another thing or situation.
-
D.
mediaAspect
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
-
E.
anamorphicSqueezeFactor
Indicates the degree to which an image or signal has been horizontally compressed (or must be expanded) by an anamorphic process, expressed as a scaling factor.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17862c8a48190912a8ad09dfda795 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:12 p.m.