Triple
T8760639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Sofia Church |
E208187
|
entity |
| Predicate | gaveNameTo |
P744
|
FINISHED |
| Object | city of Sofia |
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: city of Sofia | Statement: [Saint Sofia Church, gaveNameTo, city of Sofia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Sofia Context triple: [Saint Sofia Church, gaveNameTo, city of Sofia]
-
A.
Plovdiv
Plovdiv is Bulgaria’s second-largest city and one of Europe’s oldest continuously inhabited urban centers, known for its Roman amphitheater, Old Town, and rich cultural heritage.
-
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.
Boyana, Sofia
Boyana, Sofia is a prestigious residential neighborhood at the foot of Vitosha Mountain in Sofia, Bulgaria, known for its natural scenery, affluent homes, and cultural landmarks.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5df9729481908679151988b76d2f |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf434bcac08190be07175a26804185 |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.