Triple
T4983996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drâa-Tafilalet |
E111955
|
entity |
| Predicate | bordersRegion |
P224
|
FINISHED |
| Object | Oriental |
E397679
|
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: Oriental | Statement: [Drâa-Tafilalet, bordersRegion, Oriental]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oriental Context triple: [Drâa-Tafilalet, bordersRegion, Oriental]
-
A.
Oriental art
Oriental art encompasses the diverse artistic traditions, styles, and aesthetics originating from Asian cultures, including East, South, and Southeast Asia.
-
B.
Oriental region
The Oriental region is a major biogeographic realm encompassing South and Southeast Asia, characterized by rich tropical biodiversity and distinct fauna.
-
C.
Orient
Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
-
D.
Asian Passage
Asian Passage is a themed exhibit at the San Diego Zoo that showcases wildlife and habitats from various regions of Asia.
-
E.
Oriental Region
chosen
The Oriental Region is an administrative region in northeastern Morocco known for its Mediterranean coastline, border with Algeria, and growing economic and logistical importance.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7255d7b4819098b537df5b1a4c3c |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a1891c48190b85bec5e97f75e44 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.