Triple
T13776091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuauhtémoc Municipality |
E331009
|
entity |
| Predicate | hasInhabitantDesignation |
P974
|
FINISHED |
| Object | cuauhtemense |
—
|
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: cuauhtemense | Statement: [Cuauhtémoc Municipality, hasInhabitantDesignation, cuauhtemense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInhabitantDesignation Context triple: [Cuauhtémoc Municipality, hasInhabitantDesignation, cuauhtemense]
-
A.
hasDesignationBy
Indicates that one entity has been formally assigned or labeled with a specific designation by another entity.
-
B.
hasDesignation
chosen
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
C.
hasDesignationNearby
Indicates that one entity has a designation (such as a label, title, or marker) located in close physical or contextual proximity to another entity.
-
D.
hasInternalDesignationFor
Indicates that one entity assigns or uses an internal label, code, or designation to refer to another entity.
-
E.
hasRegionDesignation
Indicates that an entity is assigned or associated with a specific regional classification or designation.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.