Triple
T21349685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosita, Colorado |
E526439
|
entity |
| Predicate | succeededAsCountySeatBy |
P109172
|
FINISHED |
| Object | Silver Cliff, Colorado |
—
|
NE NERFINISHED |
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: Silver Cliff, Colorado | Statement: [Rosita, Colorado, succeededAsCountySeatBy, Silver Cliff, Colorado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededAsCountySeatBy Context triple: [Rosita, Colorado, succeededAsCountySeatBy, Silver Cliff, Colorado]
-
A.
hasCountySeatSuccessor
chosen
Indicates that one county seat has been succeeded or replaced by another as the official administrative center for a county.
-
B.
foundedAsCountySeat
Indicates that a place was originally established or designated to serve as the administrative center (county seat) of a county.
-
C.
countySeatSince
Indicates that one place has served as the official county seat of a county starting from a specified point in time.
-
D.
succeededAsCapitalBy
Indicates that one capital city has been replaced by another as the official capital of a political entity.
-
E.
existedAsCountyUntil
Indicates that an entity functioned with the status or designation of a county up to a specified end date or time period.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad30512081909012ce318fa67679 |
completed | April 22, 2026, 11:12 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:03 p.m.