Triple
T19390771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aourir |
E485060
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Taghazout |
—
|
NE NERFINISHED |
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: Taghazout | Statement: [Aourir, locatedNear, Taghazout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taghazout Context triple: [Aourir, locatedNear, Taghazout]
-
A.
Taghazout
chosen
Taghazout is a small Moroccan coastal village north of Agadir, best known as a laid-back surf destination with beaches and surf camps along the Atlantic.
-
B.
Taghazout Beach
Taghazout Beach is a popular Moroccan Atlantic coastline spot known for its laid-back surf culture, consistent waves, and relaxed seaside atmosphere.
-
C.
Mũi Né
Mũi Né is a coastal resort town in southern Vietnam famed for its long sandy beaches, striking red and white sand dunes, and popular kitesurfing and windsurfing conditions.
-
D.
Anse Cocos
Anse Cocos is a secluded, picturesque beach on the island of La Digue in the Seychelles, known for its white sand, turquoise waters, and natural rock pools.
-
E.
Anse Chastanet
Anse Chastanet is a scenic beach and resort area in Saint Lucia known for its lush surroundings, coral reefs, and views of the Pitons.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b44b70c81908e2f0deeabe4360f |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.