Triple
T23242904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women’s Building |
E581505
|
entity |
| Predicate | MaestraPeaceDepicts |
P49267
|
FINISHED |
| Object | women leaders |
—
|
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 leaders | Statement: [Women’s Building, MaestraPeaceDepicts, women leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MaestraPeaceDepicts Context triple: [Women’s Building, MaestraPeaceDepicts, women leaders]
-
A.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
B.
depictedPersonAlternativeName
Indicates that an alternative or variant name is used to refer to the person depicted.
-
C.
الأم
Indicates a maternal relationship where one entity is the mother of another entity.
-
D.
didacticCharacter
Indicates that one entity serves a teaching or instructional role toward another, conveying guidance, lessons, or moral instruction.
-
E.
depictedSubject
chosen
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ef109881908c8fba7316c90910 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.