Triple
T7114375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banya Bashi Mosque |
E165782
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sofia Municipality |
E31299
|
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: Sofia Municipality | Statement: [Banya Bashi Mosque, locatedIn, Sofia Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofia Municipality Context triple: [Banya Bashi Mosque, locatedIn, Sofia Municipality]
-
A.
Sofia City Province
Sofia City Province is the administrative region encompassing Bulgaria’s capital, Sofia, serving as the country’s political, economic, and cultural center.
-
B.
Sofia
chosen
Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
-
C.
Sofia
Sofia is a feminine given name of Greek origin, widely used in many cultures and commonly associated with the meaning "wisdom."
-
D.
Sofia
Sofia is a strong-willed, outspoken woman in Alice Walker’s "The Color Purple," known for her resilience and defiance against oppression.
-
E.
Sofia Province
Sofia Province is an administrative region in western Bulgaria that surrounds, but does not include, the national capital city of Sofia.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f0dab8819092103aefcaa1f9c2 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbcf5f14819097a507bd64f1031f |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 2:43 p.m.