Triple
T31378574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strastnaya Square |
E800378
|
entity |
| Predicate | currentOfficialNameOfArea |
P182742
|
FINISHED |
| Object | Pushkinskaya Square |
—
|
NE NERFINISHED |
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: Pushkinskaya Square | Statement: [Strastnaya Square, currentOfficialNameOfArea, Pushkinskaya Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentOfficialNameOfArea Context triple: [Strastnaya Square, currentOfficialNameOfArea, Pushkinskaya Square]
-
A.
currentOfficialNameOfPlace
chosen
Indicates that the object is the official name currently in use for the referenced place.
-
B.
modernNameOfArea
Indicates that one area entity represents the current or modern name of another area entity.
-
C.
urbanAreaName
Indicates the name assigned to an urban area or city within a given context.
-
D.
currentNameOfDistrictAdministered
Indicates that the specified name is the present official name of the district that is (or was) administered in a given administrative context.
-
E.
currentOfficialNameSince
Indicates the date or time from which an entity has borne its current official name.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 29, 2026, 9:18 p.m.