Triple
T20963483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alamut |
E516307
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Alamut Valley |
—
|
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: Alamut Valley | Statement: [Alamut, partOf, Alamut Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alamut Valley Context triple: [Alamut, partOf, Alamut Valley]
-
A.
Alamut Valley
chosen
Alamut Valley is a dramatic mountainous region in northern Iran famed for its historic Ismaili fortresses, including the legendary Alamut Castle, and its striking natural landscapes.
-
B.
Ayalon Valley
Ayalon Valley is a historically significant valley in central Israel, known as a strategic route and the site of numerous ancient battles.
-
C.
Arbel Valley
Arbel Valley is a scenic valley in northern Israel near the Sea of Galilee, known for its dramatic cliffs, historical sites, and popular hiking routes.
-
D.
Acher valley
Acher valley is a scenic valley in the Black Forest region of southwestern Germany, known for its vineyards, forests, and small towns such as Renchen.
-
E.
Beit She'an Valley
Beit She'an Valley is a fertile, historically significant valley in northern Israel known for its ancient archaeological sites and agricultural landscapes.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb710d6c8190a2daacaad3b22683 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:32 p.m.