Triple
T2165293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan-Africanism |
E46894
|
entity |
| Predicate | hasIntellectualRoot |
P34787
|
FINISHED |
| Object | Abolitionist thought |
—
|
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: Abolitionist thought | Statement: [Pan-Africanism, hasIntellectualRoot, Abolitionist thought]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntellectualRoot Context triple: [Pan-Africanism, hasIntellectualRoot, Abolitionist thought]
-
A.
hasAncestralRoots
chosen
Indicates that one entity originates from, descends from, or is historically rooted in another entity or place.
-
B.
hasRootWord
Indicates that one linguistic form is derived from, based on, or directly associated with a specified root word.
-
C.
hasLinguisticHeritage
Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
-
D.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
-
E.
hasStem
Indicates that one entity possesses or is characterized by a stem as a structural or functional part.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9c90408190b6b65498ca43ce26 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.