Triple
T10762574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloom Township, Fairfield County, Ohio |
E253865
|
entity |
| Predicate | borderingJurisdiction |
P76631
|
FINISHED |
| Object | other townships in Fairfield County, Ohio |
—
|
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: other townships in Fairfield County, Ohio | Statement: [Bloom Township, Fairfield County, Ohio, borderingJurisdiction, other townships in Fairfield County, Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingJurisdiction Context triple: [Bloom Township, Fairfield County, Ohio, borderingJurisdiction, other townships in Fairfield County, Ohio]
-
A.
bordersJurisdiction
chosen
Indicates that one jurisdiction shares a boundary or border with another jurisdiction.
-
B.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
E.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
- F. None of above.
Provenance (3 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a373708190ae5ac0c027a4014c |
completed | April 9, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.