Triple
T10914659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustavo A. Madero borough government |
E257787
|
entity |
| Predicate | subdivisionTypeAdmin |
P36805
|
FINISHED |
| Object | alcaldía |
—
|
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: alcaldía | Statement: [Gustavo A. Madero borough government, subdivisionTypeAdmin, alcaldía]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionTypeAdmin Context triple: [Gustavo A. Madero borough government, subdivisionTypeAdmin, alcaldía]
-
A.
hasTypeOfSubdivision
chosen
Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
-
B.
traditionalSubdivisionOf
Indicates that one entity is a historically or culturally recognized sub-unit or component region of another, according to traditional (rather than strictly modern administrative) divisions.
-
C.
categorySubdivision
Indicates that one category functions as a subdivision or subcategory within another broader category.
-
D.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
-
E.
subdivisionRanks
Indicates the hierarchical ranks or levels into which an entity is further subdivided within a classification or organizational structure.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77073d12881908ea59771b84bc804 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.