Triple
T8010974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abd al-Qadir al-Gilani |
E186489
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Gilan |
E376809
|
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: Gilan | Statement: [Abd al-Qadir al-Gilani, region, Gilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilan Context triple: [Abd al-Qadir al-Gilani, region, Gilan]
-
A.
Gilan Province
chosen
Gilan Province is a lush, mountainous region in northern Iran along the Caspian Sea, known for its humid climate, rice paddies, tea plantations, and distinct local culture.
-
B.
Mazandaran Province
Mazandaran Province is a lush, populous region in northern Iran along the southern coast of the Caspian Sea, known for its forests, agriculture, and tourism.
-
C.
Alborz Province
Alborz Province is a small but densely populated province in northern Iran, located just west of Tehran and known for its mountainous terrain and proximity to the capital.
-
D.
Javad Uyezd
Javad Uyezd was an administrative district of the Russian Empire located within the Baku Governorate in the South Caucasus region.
-
E.
Margilan
Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c1f76881909ad6d7777090f2e2 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:19 p.m.