Triple
T12398067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Малая Нева |
E296172
|
entity |
| Predicate | город |
P104623
|
FINISHED |
| Object | Санкт-Петербург |
—
|
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: Санкт-Петербург | Statement: [Малая Нева, город, Санкт-Петербург]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: город Context triple: [Малая Нева, город, Санкт-Петербург]
-
A.
town
Indicates that a location is classified or functions as a town within a given geographic or administrative context.
-
B.
cityOrTown
Indicates that the subject is classified as a city or a town.
-
C.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
D.
cities
Indicates a relationship where one or more entities are identified as cities associated with another entity (such as a country, region, or person).
-
E.
city1
Indicates that the subject is classified as a city.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd448f08190af425a569d7ed158 |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed4cea08190ad374d3f6a798053 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:54 p.m.