Triple
T1601743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affordability Drivers Index |
E34407
|
entity |
| Predicate | outputForm |
P26269
|
FINISHED |
| Object | country rankings |
—
|
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: country rankings | Statement: [Affordability Drivers Index, outputForm, country rankings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputForm Context triple: [Affordability Drivers Index, outputForm, country rankings]
-
A.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
B.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
-
C.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
D.
formsWith
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
-
E.
usesForm
chosen
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.