Triple
T21360873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costilla County |
E526772
|
entity |
| Predicate | hasOldestTownInColorado |
P45412
|
FINISHED |
| Object | San Luis, 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: San Luis, Colorado | Statement: [Costilla County, hasOldestTownInColorado, San Luis, Colorado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOldestTownInColorado Context triple: [Costilla County, hasOldestTownInColorado, San Luis, Colorado]
-
A.
oldestTownIn
chosen
Indicates that a town is the most ancient or earliest established town within a specified larger area or region.
-
B.
isOldestCountyIn
Indicates that a county holds the status of being the most ancient or earliest established county within a specified larger region or jurisdiction.
-
C.
isOldestAmericanSettlementWestOf
Indicates that one settlement is the earliest-established American settlement located to the west of another specified place.
-
D.
isOldestContinuouslyInhabitedTownIn
Indicates that a town holds the status of being the oldest continuously inhabited town within a specified region or area.
-
E.
stateWithMostFourteeners
Indicates that a state has the highest number of mountains whose summits exceed 14,000 feet in elevation compared to all other states.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa6afcc8190a1f5c599c11d2135 |
completed | April 22, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:08 p.m.