Triple
T2186641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samarra period |
E49166
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Samarra |
E51046
|
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: Samarra | Statement: [Samarra period, hasCapital, Samarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samarra Context triple: [Samarra period, hasCapital, Samarra]
-
A.
Samarra
chosen
Samarra is an ancient Iraqi city on the Tigris River renowned for its monumental Islamic architecture, especially the spiral minaret of the Great Mosque of Samarra.
-
B.
Ctesiphon
Ctesiphon was an ancient metropolis on the Tigris River that served for centuries as the principal capital of the Parthian and later Sasanian Persian empires.
-
C.
Sippar
Sippar was an important ancient Mesopotamian city, renowned as a religious and administrative center particularly associated with the sun god Shamash.
-
D.
Susa
Susa was an ancient city in southwestern Iran that served as a major political and administrative center for several empires, including the Achaemenid Persians.
-
E.
Susa
Susa is an ancient town in the Piedmont region of northwestern Italy, historically significant as a key Alpine gateway between Italy and France.
- 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_69ae654016a88190a242d43491f0726c |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:45 p.m.