Triple
T18925467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target 5.c |
E462960
|
entity |
| Predicate | indicatorDescribes |
P81722
|
FINISHED |
| Object | proportion of countries with systems to track and make public allocations for gender equality and women’s empowerment |
—
|
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: proportion of countries with systems to track and make public allocations for gender equality and women’s empowerment | Statement: [Target 5.c, indicatorDescribes, proportion of countries with systems to track and make public allocations for gender equality and women’s empowerment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indicatorDescribes Context triple: [Target 5.c, indicatorDescribes, proportion of countries with systems to track and make public allocations for gender equality and women’s empowerment]
-
A.
indicatorType
Indicates the specific kind or category of indicator associated with an entity or relationship.
-
B.
symbolDescription
Indicates that a symbol is associated with or defined by a particular descriptive explanation or meaning.
-
C.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
D.
targetDescription
Indicates that an entity provides a textual explanation or characterization of a specified target entity or concept.
-
E.
indicatorExample
chosen
Indicates that one entity serves as an example or instance illustrating the characteristics, behavior, or usage of another entity.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:59 a.m.