Triple
T2186479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mongol Ilkhanate |
E49163
|
entity |
| Predicate | capital |
P234
|
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: [Mongol Ilkhanate, capital, Maragha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maragha Context triple: [Mongol Ilkhanate, capital, Maragha]
-
A.
Maragheh
chosen
Maragheh is a historic city in northwestern Iran known for its rich cultural heritage and notable astronomical observatory from the Ilkhanid era.
-
B.
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.
-
C.
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.
-
D.
Iravan
Iravan is a minor hero in the Indian epic Mahabharata, known as the son of the Pandava prince Arjuna and the Naga princess Ulupi, and revered in certain regional traditions for his sacrificial role in the Kurukshetra war.
-
E.
Tabriz
Tabriz is a historic city in northwestern Iran that has long served as a major political, commercial, and cultural center in the region.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf1152688190955c14c0937deefd |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6af40330819094b3b9d74a63b602 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:45 p.m.