Triple
T15545190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PPWE |
E370591
|
entity |
| Predicate | worksOnTheme |
P53515
|
FINISHED |
| Object | women and the economy |
—
|
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: women and the economy | Statement: [PPWE, worksOnTheme, women and the economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksOnTheme Context triple: [PPWE, worksOnTheme, women and the economy]
-
A.
supportsThemeOf
chosen
Indicates that one entity reinforces, aligns with, or contributes to the central theme expressed by another entity.
-
B.
worksFor
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
C.
worksOnProgram
Indicates that an entity is actively involved in contributing effort or performing tasks on a particular program.
-
D.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
E.
worksInSetting
Indicates that an entity performs its activities or functions within a specified environment, context, or setting.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0443410408190a249889edcd9c599 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:07 a.m.