Triple
T8961180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sevastyanov House |
E214006
|
entity |
| Predicate | citySymbolStatus |
P85896
|
FINISHED |
| Object | iconic architectural landmark of Yekaterinburg |
—
|
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: iconic architectural landmark of Yekaterinburg | Statement: [Sevastyanov House, citySymbolStatus, iconic architectural landmark of Yekaterinburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citySymbolStatus Context triple: [Sevastyanov House, citySymbolStatus, iconic architectural landmark of Yekaterinburg]
-
A.
citySymbol
Indicates that one entity serves as the official symbol or emblem representing a particular city.
-
B.
citySymbolOf
Indicates that a particular city serves as an official symbol or emblem representing another entity, such as a region, organization, or concept.
-
C.
cityFlagElement
Indicates that something is an element or component depicted on a city’s flag.
-
D.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
E.
cityStatusContext
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
- F. None of above. chosen
Provenance (4 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6748baa88190ac54e701dc4d6212 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7 p.m.