Triple
T25502318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sétif |
E639147
|
entity |
| Predicate | roleInNationalHistory |
P166566
|
FINISHED |
| Object | symbol of anti-colonial resistance in Algeria |
—
|
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: symbol of anti-colonial resistance in Algeria | Statement: [Sétif, roleInNationalHistory, symbol of anti-colonial resistance in Algeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInNationalHistory Context triple: [Sétif, roleInNationalHistory, symbol of anti-colonial resistance in Algeria]
-
A.
roleInHistoryOf
chosen
Indicates that one entity holds a specific role, contribution, or significance within the historical development or narrative of another entity.
-
B.
roleInHumanHistory
Indicates the function, influence, or significance that an entity has had within the course of human history.
-
C.
notableHistoricalFigureRole
Indicates that an entity is recognized as a historically significant person who played a particular role or held a specific position in history.
-
D.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
E.
hasObscureHistoricalRole
Indicates that an entity plays a minor, little-known, or poorly documented role in historical events or contexts.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 21, 2026, 2:45 p.m.