Triple
T28756229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montemorelos |
E731678
|
entity |
| Predicate | urbanRuralRelation |
P169283
|
FINISHED |
| Object | serves surrounding agricultural communities |
—
|
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: serves surrounding agricultural communities | Statement: [Montemorelos, urbanRuralRelation, serves surrounding agricultural communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanRuralRelation Context triple: [Montemorelos, urbanRuralRelation, serves surrounding agricultural communities]
-
A.
urbanRuralSplit
Indicates a division or distinction between urban and rural areas, conditions, or populations.
-
B.
isRuralOrUrban
Indicates whether an entity is classified as being in a rural area or an urban area.
-
C.
hasUrbanRelation
Indicates a relationship where one entity is connected to another through an urban context, such as city-based location, influence, or interaction.
-
D.
isRuralCity
Indicates that a city is characterized by rural features or is located within a predominantly rural area.
-
E.
isSuburbanRuralFringeOf
Indicates that one area lies on the outer edge or transition zone between a suburban region and the surrounding rural countryside of another area.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 6:09 a.m.