Triple
T6514586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordzhonikidze |
E148221
|
entity |
| Predicate | usedAsOfficialNameUntil |
P42229
|
FINISHED |
| Object | 1944 |
—
|
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: 1944 | Statement: [Ordzhonikidze, usedAsOfficialNameUntil, 1944]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsOfficialNameUntil Context triple: [Ordzhonikidze, usedAsOfficialNameUntil, 1944]
-
A.
formerOfficialNameOf
Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
-
B.
currentOfficialNameSince
Indicates the date or time from which an entity has borne its current official name.
-
C.
officialNameSince
Indicates the date or point in time from which a particular official name has been in effect for an entity.
-
D.
officialNameDuringPeriod
Indicates that an entity had a specific official name that was valid only during a particular time period.
-
E.
operatedAsNameUntil
chosen
Indicates that an entity functioned or was known under a particular name up to a specified point in time.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0bea808190aebc2905fb53eeba |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.