Triple
T21406607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astara District |
E528050
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Astara |
—
|
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: Astara | Statement: [Astara District, hasSettlement, Astara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astara Context triple: [Astara District, hasSettlement, Astara]
-
A.
Astara
Astara is a coastal city in northern Iran near the border with Azerbaijan, known as an important trade and transit hub on the Caspian Sea.
-
B.
Astara, Azerbaijan
chosen
Astara, Azerbaijan is a coastal town and important border crossing point in southeastern Azerbaijan, situated on the Caspian Sea near the frontier with Iran.
-
C.
Ashgabat
Ashgabat is the largest city and political, economic, and cultural center of Turkmenistan, known for its grand marble architecture and monumental cityscape.
-
D.
Shamkir
Shamkir is a town in western Azerbaijan known as a regional center with historical significance and a growing agricultural and industrial economy.
-
E.
Astara, Iran
Astara, Iran is a northern Iranian port city on the Caspian Sea that serves as a key commercial and transit hub on the border with Azerbaijan.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b08fdc81909b3ba01add5f6484 |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:32 p.m.