Triple
T8760653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Sofia Church |
E208187
|
entity |
| Predicate | importanceForCityIdentity |
P10919
|
FINISHED |
| Object | symbol of Sofia |
—
|
LITERAL 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: symbol of Sofia | Statement: [Saint Sofia Church, importanceForCityIdentity, symbol of Sofia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceForCityIdentity Context triple: [Saint Sofia Church, importanceForCityIdentity, symbol of Sofia]
-
A.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
B.
representsCity
Indicates that one entity serves as the official representative or embodiment of a particular city.
-
C.
wasImportantCityOf
Indicates that a city held significant importance or prominence within a specified larger political or geographic entity during a given time period.
-
D.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
-
E.
citySymbol
chosen
Indicates that one entity serves as the official symbol or emblem representing a particular city.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.