Triple
T25613507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parroquia de Nuestra Señora del Rosario |
E642097
|
entity |
| Predicate | associatedWithTownType |
P193643
|
FINISHED |
| Object | mining town |
—
|
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: mining town | Statement: [Parroquia de Nuestra Señora del Rosario, associatedWithTownType, mining town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTownType Context triple: [Parroquia de Nuestra Señora del Rosario, associatedWithTownType, mining town]
-
A.
associatedWithModernTown
Indicates that something has a defined connection or linkage to a present-day town or municipality.
-
B.
belongsToCityType
Indicates that one entity is classified under, or associated with, a particular type or category of city.
-
C.
relationshipToTownship
Indicates the specific type of relationship or association that an entity has with a particular township.
-
D.
associatedWithCountySeat
Indicates that an entity has a relationship or connection to a county’s administrative center or county seat.
-
E.
hasMunicipalityType
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 21, 2026, 4:42 p.m.