Triple
T2871598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Springs, Missouri |
E63574
|
entity |
| Predicate | hasCountySeatRelation |
P43440
|
FINISHED |
| Object | not a county seat |
—
|
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: not a county seat | Statement: [Blue Springs, Missouri, hasCountySeatRelation, not a county seat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountySeatRelation Context triple: [Blue Springs, Missouri, hasCountySeatRelation, not a county seat]
-
A.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
B.
hasCountySeatWithRole
Indicates that a county has a designated county seat that fulfills a specific administrative or governmental role.
-
C.
hasCountySeatFunction
Indicates that an entity serves as the official county seat, functioning as the administrative center for a county.
-
D.
hasCountySeatFeature
Indicates that a county has a specific feature serving as its official county seat (administrative center).
-
E.
hasCountySeatOn
Indicates that a county’s administrative center (county seat) is located on or adjacent to a specified geographic feature or infrastructure.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe46a1c819084399a191f0dfe9c |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:02 p.m.