Triple
T8583530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest ghettos |
E203243
|
entity |
| Predicate | liberationTime |
P14067
|
FINISHED |
| Object | January 1945 |
—
|
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: January 1945 | Statement: [Budapest ghettos, liberationTime, January 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liberationTime Context triple: [Budapest ghettos, liberationTime, January 1945]
-
A.
liberationDate
chosen
Indicates the date on which an entity was freed, released, or liberated from a prior state of control, confinement, or oppression.
-
B.
liberationEvent
Indicates an event in which an entity is freed from control, confinement, or oppression by another entity or condition.
-
C.
liberationAchievedBy
Indicates that a state of liberation or freedom is brought about or attained through a specific action, process, or agent.
-
D.
liberationPlace
Indicates the place or location where an entity was liberated or set free.
-
E.
countryLiberated
Indicates that one country has freed another country from occupation, control, or oppression, restoring its independence or autonomy.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.