Triple
T5420247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Clair County, Alabama |
E121229
|
entity |
| Predicate | hasTwoCountySeats |
P63546
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [St. Clair County, Alabama, hasTwoCountySeats, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwoCountySeats Context triple: [St. Clair County, Alabama, hasTwoCountySeats, true]
-
A.
hasCountySeatCity
Indicates that a county has a specific city that serves as its official administrative center or county seat.
-
B.
hasCountySeatFunction
Indicates that an entity serves as the official county seat, functioning as the administrative center for a county.
-
C.
hasCountySeatFeature
Indicates that a county has a specific feature serving as its official county seat (administrative center).
-
D.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
E.
hasCountySeatRelation
Indicates that a specific place serves as the county seat (administrative center) of a particular county.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e8f1cc81908b997f8a417697c0 |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8741e8588190863fd5cfb559136d |
completed | March 20, 2026, 5:43 p.m. |
Created at: March 20, 2026, 2:06 p.m.