Triple
T34962486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missouri–Oklahoma border |
E1008295
|
entity |
| Predicate | hasAdjacentRegionOnMissouriSide |
P195558
|
FINISHED |
| Object | southwestern Missouri |
—
|
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: southwestern Missouri | Statement: [Missouri–Oklahoma border, hasAdjacentRegionOnMissouriSide, southwestern Missouri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentRegionOnMissouriSide Context triple: [Missouri–Oklahoma border, hasAdjacentRegionOnMissouriSide, southwestern Missouri]
-
A.
hasNeighboringStateToWest
Indicates that one state is geographically located directly to the west of another state, sharing a common border.
-
B.
locatedNearStateBorderWith
Indicates that one entity is situated geographically close to the border of a specified state.
-
C.
borderingOpposingState
Indicates that one state shares a border with another state that is politically, militarily, or ideologically opposed to it.
-
D.
hasNearbyCountyBorder
Indicates that the borders of two counties are geographically close to each other, though not necessarily directly adjacent.
-
E.
hasNearbyCityOnIndianaSide
Indicates that an entity has a nearby city located on the Indiana side of a border or region.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69fdd922d73c81908ad3faade247ec16 |
completed | May 8, 2026, 12:37 p.m. |
Created at: May 3, 2026, 4 p.m.