Triple
T18674654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldwell, Texas |
E456567
|
entity |
| Predicate | hasCountySeatFunctionSinceCentury |
P26682
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Caldwell, Texas, hasCountySeatFunctionSinceCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountySeatFunctionSinceCentury Context triple: [Caldwell, Texas, hasCountySeatFunctionSinceCentury, 19th century]
-
A.
countySeatSince
chosen
Indicates that one place has served as the official county seat of a county starting from a specified point in time.
-
B.
hasCountySeatFunction
Indicates that an entity serves as the official county seat, functioning as the administrative center for a county.
-
C.
hasHistoricCountySeat
Indicates that an administrative region historically had its county government or main county offices located in a particular settlement or city.
-
D.
hasCountySeatCity
Indicates that a county has a specific city that serves as its official administrative center or county seat.
-
E.
hasCountySeatSuccessor
Indicates that one county seat has been succeeded or replaced by another as the official administrative center for a county.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b4e390819091ad9dd118ca1f4f |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.