Triple
T10196645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLFPA |
E238778
|
entity |
| Predicate | genderEqualityImpact |
P28849
|
FINISHED |
| Object | addresses gender-based pay discrimination |
—
|
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: addresses gender-based pay discrimination | Statement: [LLFPA, genderEqualityImpact, addresses gender-based pay discrimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderEqualityImpact Context triple: [LLFPA, genderEqualityImpact, addresses gender-based pay discrimination]
-
A.
genderEquality
chosen
Indicates that the relationship or action promotes, reflects, or ensures equal rights, opportunities, and treatment for all genders without discrimination.
-
B.
genderIntegration
Indicates the extent to which individuals of different genders are included, mixed, or participate together within a given context or system.
-
C.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
D.
stanceOnGenderIssues
Indicates a person or entity’s views, attitudes, or position regarding gender-related topics, policies, or inequalities.
-
E.
genderRoleSignificance
Indicates the extent to which gender roles are considered important, influential, or defining within a given relationship, context, or interaction.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedcaf6688190938d8e56e29493eb |
completed | April 2, 2026, 4:17 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.