Triple
T8232865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Rif War |
E192333
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Rif |
E225395
|
NE 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: Rif | Statement: [Second Rif War, location, Rif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rif Context triple: [Second Rif War, location, Rif]
-
A.
Rif
chosen
Rif is a mountainous coastal region in northern Morocco known for its predominantly Amazigh (Berber) population and distinct cultural and historical identity.
-
B.
Rif
Rif, also known as Rabbi Isaac Alfasi, was an 11th-century Talmudic scholar whose halachic digest of the Talmud became a foundational legal work that strongly shaped later Jewish law codes.
-
C.
RIF
RIF (Rule Interchange Format) is a W3C standard designed to enable the exchange and interoperability of rules across different Semantic Web systems and rule engines.
-
D.
Rifian
Rifian is a Berber language spoken by the Rif people of northern Morocco.
-
E.
Rist
Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782658fc8190885dc267355ff245 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd67f7dcec81909b74fd2da3609fc3 |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:46 p.m.