Triple
T9365919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irifiyen |
E225397
|
entity |
| Predicate | selfDesignation |
P974
|
FINISHED |
| Object | Irifiyen |
E225397
|
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: Irifiyen | Statement: [Irifiyen, selfDesignation, Irifiyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irifiyen Context triple: [Irifiyen, selfDesignation, Irifiyen]
-
A.
Irifiyen
chosen
Irifiyen is the endonym used by the Riffian people, an Amazigh (Berber) ethnic group indigenous to Morocco’s Rif region.
-
B.
Iferhounène
Iferhounène is a town and commune located in the mountainous Kabylie region of northern Algeria.
-
C.
Galafi
Galafi is a small border town in Djibouti that serves as a key road crossing and trade gateway between Djibouti and Ethiopia.
-
D.
Kifisia
Kifisia is an affluent suburban municipality in the northern part of the Athens metropolitan area in Greece, known for its upscale residential neighborhoods, shops, and green spaces.
-
E.
Firiplaka
Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5041261c81909edab3b7fcd1fe22 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3fbe7d481909712531d907b77d8 |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:43 p.m.