Triple
T28479716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajdir |
E720656
|
entity |
| Predicate | politicalStatusIn1920s |
P181416
|
FINISHED |
| Object | capital of the Rif Republic |
—
|
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: capital of the Rif Republic | Statement: [Ajdir, politicalStatusIn1920s, capital of the Rif Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalStatusIn1920s Context triple: [Ajdir, politicalStatusIn1920s, capital of the Rif Republic]
-
A.
legalStatusAfter1919
Indicates the legal status or condition of an entity as it existed after the year 1919.
-
B.
statusBy1950s
Indicates the status or condition of something as it existed by the 1950s.
-
C.
politicalStatusContext
Indicates the situational or contextual conditions under which a particular political status holds or is evaluated.
-
D.
legalStatusAfter1917
Indicates the legal status or condition of an entity as it existed after the year 1917.
-
E.
legalStatusAfter1910
Indicates the legal status or condition that applied to an entity after the year 1910.
- F. None of above. chosen
Provenance (4 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 28, 2026, 2:54 a.m.