Triple
T22025610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali ibn Musa |
E543952
|
entity |
| Predicate | associatedCity |
P3207
|
FINISHED |
| Object | Mashhad |
—
|
NE NERFINISHED |
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: Mashhad | Statement: [Ali ibn Musa, associatedCity, Mashhad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mashhad Context triple: [Ali ibn Musa, associatedCity, Mashhad]
-
A.
Mashhad
chosen
Mashhad is a major city in northeastern Iran renowned as a leading religious and cultural center of the Islamic world, centered around the shrine of Imam Reza.
-
B.
Isfahan
Isfahan is a historic Iranian city renowned for its Safavid-era architecture, grand mosques, and role as a major political and cultural center in early modern Persia.
-
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.
Tehrani
Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
-
E.
Tehran
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cba61c8190a48ec2c1ee1315b0 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.