Triple
T1526720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Century, Florida |
E32351
|
entity |
| Predicate | borderRelation |
P12818
|
FINISHED |
| Object | near Florida–Alabama border |
—
|
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: near Florida–Alabama border | Statement: [Town of Century, Florida, borderRelation, near Florida–Alabama border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderRelation Context triple: [Town of Century, Florida, borderRelation, near Florida–Alabama border]
-
A.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
B.
borderRegion
chosen
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
C.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
-
D.
borderDefinedBy
Indicates that the boundary or limit of one entity is determined, shaped, or delineated by another entity.
-
E.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.