Triple
T227081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Deputies of Mexico |
E4334
|
entity |
| Predicate | regionForPRSeats |
P9303
|
FINISHED |
| Object | five multi-state electoral circumscriptions |
—
|
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: five multi-state electoral circumscriptions | Statement: [Chamber of Deputies of Mexico, regionForPRSeats, five multi-state electoral circumscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionForPRSeats Context triple: [Chamber of Deputies of Mexico, regionForPRSeats, five multi-state electoral circumscriptions]
-
A.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
B.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
-
C.
stateElectoralRegion
Indicates the electoral district or region within a state that an entity is associated with for voting or representation purposes.
-
D.
electoralDistrictType
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
E.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
- F. None of above. chosen
Provenance (4 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.