Triple
T24993236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipalities of Zacatecas |
E625500
|
entity |
| Predicate | areSubdividedFrom |
P64660
|
FINISHED |
| Object | state of Zacatecas |
—
|
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: state of Zacatecas | Statement: [Municipalities of Zacatecas, areSubdividedFrom, state of Zacatecas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areSubdividedFrom Context triple: [Municipalities of Zacatecas, areSubdividedFrom, state of Zacatecas]
-
A.
isSubdividedFrom
chosen
Indicates that one entity represents a subdivision or derived part that has been split off from another entity.
-
B.
isSubdividedAs
Indicates that something is divided into smaller parts, sections, or units that together constitute its subdivision structure.
-
C.
subdividedBy
Indicates that something is divided into smaller parts or sections by another entity or criterion.
-
D.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
E.
hasSubdivisionSuccessor
Indicates that one administrative or territorial subdivision directly succeeds another in an ordered sequence or historical progression.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a4787948190874b230f692d16c7 |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:04 a.m.