Triple
T21406610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astara District |
E528050
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Siyaku
Siyaku is a village located within the Astara District of Azerbaijan, near the country’s southern border with Iran.
|
E1482513
|
NE FINISHED |
How this triple was built (4 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: Siyaku | Statement: [Astara District, hasSettlement, Siyaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siyaku Context triple: [Astara District, hasSettlement, Siyaku]
-
A.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
-
B.
Senyuuji
Senyuuji is a Buddhist temple in Japan, known as Temple 58 on the Shikoku Pilgrimage route.
-
C.
Muye
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
-
D.
Saiun
Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
-
E.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Siyaku Triple: [Astara District, hasSettlement, Siyaku]
Generated description
Siyaku is a village located within the Astara District of Azerbaijan, near the country’s southern border with Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siyaku Target entity description: Siyaku is a village located within the Astara District of Azerbaijan, near the country’s southern border with Iran.
-
A.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
-
B.
Senyuuji
Senyuuji is a Buddhist temple in Japan, known as Temple 58 on the Shikoku Pilgrimage route.
-
C.
Muye
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
-
D.
Saiun
Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
-
E.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb559d248190bef01cb86020d29c |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea4a674819093d5bfb9e6fe69b9 |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bfa27d848190bb77d632359a11b3 |
completed | May 17, 2026, 1:16 p.m. |
Created at: April 16, 2026, 5:32 p.m.