Triple
T26808198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zacatecas metropolitan area |
E671904
|
entity |
| Predicate | isUrbanAgglomeration |
P73839
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zacatecas metropolitan area, isUrbanAgglomeration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanAgglomeration Context triple: [Zacatecas metropolitan area, isUrbanAgglomeration, true]
-
A.
hasUrbanAgglomeration
chosen
Indicates that an entity includes, is associated with, or is characterized by a specific urban agglomeration (a densely populated urban area and its surrounding zones).
-
B.
isUrbanAgglomerationMember
Indicates that an entity is part of, or included within, a larger urban agglomeration area.
-
C.
isUrbanCommuneOf
Indicates that one entity is an urban commune that administratively belongs to or is part of another entity (typically a higher-level territorial unit).
-
D.
isUrbanLocalGovernmentUnitOf
Indicates that one entity functions as the urban local government authority responsible for administering the other entity.
-
E.
isUrbanLocality
Indicates that a place is classified as an urban settlement or locality, as opposed to a rural area.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a1f1f8481908c75c51a505c505a |
completed | May 2, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:27 a.m.