Triple
T38221488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish–Soviet border |
E1012020
|
entity |
| Predicate | passesThroughHistoricalRegion |
P190307
|
FINISHED |
| Object | Eastern Galicia |
—
|
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: Eastern Galicia | Statement: [Polish–Soviet border, passesThroughHistoricalRegion, Eastern Galicia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passesThroughHistoricalRegion Context triple: [Polish–Soviet border, passesThroughHistoricalRegion, Eastern Galicia]
-
A.
isHistoricRegionFor
Indicates that one entity serves as a historically recognized region associated with, or significant to, another entity.
-
B.
isInHistoricRegion
Indicates that an entity is located within or belongs to a historically recognized geographic region.
-
C.
historicalRegionCorrespondsTo
Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
-
D.
hasHistoricalRegionType
Indicates that a historical region is associated with a specific type or classification of historical region.
-
E.
hasHistoricalRegionOverlap
Indicates that two historical regions share a common geographic area or have partially overlapping territorial extents during a given time 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:30 p.m.