Triple
T25824054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Jardín Balbuena |
E650477
|
entity |
| Predicate | isPartOfCitySector |
P80700
|
FINISHED |
| Object | east side of Mexico City |
—
|
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: east side of Mexico City | Statement: [Colonia Jardín Balbuena, isPartOfCitySector, east side of Mexico City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCitySector Context triple: [Colonia Jardín Balbuena, isPartOfCitySector, east side of Mexico City]
-
A.
isMunicipalSectorOf
Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
-
B.
inCityDistrict
Indicates that one entity is located within the boundaries of a specific city district.
-
C.
isUrbanSectionOf
chosen
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
-
D.
sectorOfGovernedEntity
Indicates the economic or administrative sector to which a governed entity (such as a jurisdiction or organization under governance) belongs.
-
E.
hasCityDistrictAlong
Indicates that a city district is located along or adjacent to a specified linear feature, such as a road, river, or coastline.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 22, 2026, 7:31 a.m.