Triple
T14715212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilkhan |
E345658
|
entity |
| Predicate | capitalDuringTenure |
P17922
|
FINISHED |
| Object | Maragha |
E243700
|
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: Maragha | Statement: [Ilkhan, capitalDuringTenure, Maragha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maragha Context triple: [Ilkhan, capitalDuringTenure, Maragha]
-
A.
El Maragha
El Maragha is a town in Upper Egypt located within the Sohag Governorate along the Nile River.
-
B.
Maragheh
chosen
Maragheh is a historic city in northwestern Iran known for its rich cultural heritage and notable astronomical observatory from the Ilkhanid era.
-
C.
Nishapur
Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
-
D.
Sultaniyeh
Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
-
E.
Rayy
Rayy was an important medieval city near present-day Tehran that served as a major political, commercial, and intellectual hub during the Islamic Golden Age.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.