Triple
T24686965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Ossetian ASSR |
E611323
|
entity |
| Predicate | hasCurrentSuccessor |
P157676
|
FINISHED |
| Object | Republic of North Ossetia–Alania |
—
|
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: Republic of North Ossetia–Alania | Statement: [North Ossetian ASSR, hasCurrentSuccessor, Republic of North Ossetia–Alania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentSuccessor Context triple: [North Ossetian ASSR, hasCurrentSuccessor, Republic of North Ossetia–Alania]
-
A.
hasOnlineSuccessor
Indicates that one entity is the direct online or digital successor of another, typically replacing or continuing its function in an online context.
-
B.
hasMoreAggressiveSuccessor
Indicates that one entity is followed or replaced by another entity that exhibits a higher level of aggressiveness in behavior, strategy, or effect.
-
C.
hasSuccessorInMemory
Indicates that one entity is followed by another in a specific memory sequence or structure.
-
D.
hasSuccessorUse
Indicates that one use or application of something is directly followed or replaced by another use in a sequence or progression.
-
E.
hasSuccessorSegment
Indicates that one segment directly follows another segment in a sequence or ordered structure.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 3:19 a.m.