Triple
T23746144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartak Ordzhonikidze |
E586818
|
entity |
| Predicate | hasHomeRegionHistorical |
P153540
|
FINISHED |
| Object | North Ossetian ASSR |
—
|
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: North Ossetian ASSR | Statement: [Spartak Ordzhonikidze, hasHomeRegionHistorical, North Ossetian ASSR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeRegionHistorical Context triple: [Spartak Ordzhonikidze, hasHomeRegionHistorical, North Ossetian ASSR]
-
A.
hasHistoricalRegionType
Indicates that a historical region is associated with a specific type or classification of historical region.
-
B.
historicalRegionCorrespondsTo
Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
-
C.
historicalRegionCode
Indicates that an entity is associated with a specific code identifying a historical region.
-
D.
historicallyIncludedRegion
Indicates that one region was formerly part of, or contained within, another region during a past historical period.
-
E.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbded748190b305fc39ed71fa3f |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:12 p.m.