Triple
T12386480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panjshir River |
E295877
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Bazarak |
E708184
|
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: Bazarak | Statement: [Panjshir River, nearbySettlement, Bazarak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bazarak Context triple: [Panjshir River, nearbySettlement, Bazarak]
-
A.
Bazarak
chosen
Bazarak is a small town in northeastern Afghanistan that serves as the administrative and political center of the strategically significant Panjshir region.
-
B.
Bazarduzu
Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
-
C.
Barzanji
Barzanji is a Kurdish family name historically associated with influential religious and political leaders in the region of Iraqi Kurdistan.
-
D.
Bakhah
Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
-
E.
Dargaz
Dargaz is a city in northeastern Iran known for its historical significance and location near the Turkmenistan border.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac939bc819081629b9eef20c4e7 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.