Triple
T1706826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rif War |
E36889
|
entity |
| Predicate | place |
P373
|
FINISHED |
| Object | Rif region |
E151657
|
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 region | Statement: [Rif War, place, Rif region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rif region Context triple: [Rif War, place, Rif region]
-
A.
Rif region
chosen
The Rif region is a mountainous area in northern Morocco along the Mediterranean coast, known for its distinct Amazigh (Berber) culture and history of resistance.
-
B.
Oriente region
The Oriente region is a historical area in eastern Cuba known for its mountainous terrain, rich Afro-Cuban culture, and key role in the Cuban Revolution.
-
C.
Nimar
Nimar is a culturally distinct region in southwestern Madhya Pradesh, India, known for its tribal communities, cotton production, and location along the Narmada River.
-
D.
Karas Region
Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
-
E.
Yala
Yala is a major city in Thailand’s deep south, known as an administrative, commercial, and cultural center near the Malaysian border.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62f52ea48190a176eb499f946301 |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ad849648190b2bb0e2a50cd6c75 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.