Triple
T33170683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimoda |
E849021
|
entity |
| Predicate | openedToRussia |
P192074
|
FINISHED |
| Object | 1855 |
—
|
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: 1855 | Statement: [Shimoda, openedToRussia, 1855]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToRussia Context triple: [Shimoda, openedToRussia, 1855]
-
A.
openedInSovietRepublic
Indicates that something (such as an institution, facility, or organization) was opened or established within the territory of a Soviet republic.
-
B.
participantReleasedByRussia
Indicates that a participant was freed from custody or control specifically by Russian authorities or entities.
-
C.
openedToUnitedStates
Indicates that something (such as a market, service, or access) has been made available or extended to include the United States.
-
D.
openingCountry
Indicates the country in which something (such as a business, event, or production) is first opened, launched, or premiered.
-
E.
leftRussia
Indicates that an entity departed from or ceased to be in Russia.
- 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_69f3495be8808190bbf427733df08aad |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: May 1, 2026, 1:28 a.m.