Triple
T21804107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1956 women’s march to the Union Buildings |
E538305
|
entity |
| Predicate | sloganTranslation |
P36824
|
FINISHED |
| Object | You strike a woman, you strike a rock |
—
|
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: You strike a woman, you strike a rock | Statement: [1956 women’s march to the Union Buildings, sloganTranslation, You strike a woman, you strike a rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sloganTranslation Context triple: [1956 women’s march to the Union Buildings, sloganTranslation, You strike a woman, you strike a rock]
-
A.
sloganInEnglish
chosen
Indicates that an entity’s slogan is expressed in the English language.
-
B.
sloganConcept
Indicates that a particular concept, idea, or theme is expressed or represented by a given slogan.
-
C.
sloganForm
Indicates that one entity serves as the slogan or advertising catchphrase associated with another entity.
-
D.
sloganInspired
Indicates that one slogan was created, influenced, or shaped by ideas, style, or content drawn from another source.
-
E.
sloganSourceText
Indicates that the slogan is derived from, or corresponds to, a particular source text.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.