Triple
T37088594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de Ingresos de la Federación |
E918354
|
entity |
| Predicate | cámaraDeOrigenHabitual |
P187126
|
FINISHED |
| Object | Cámara de Diputados |
—
|
NE NERFINISHED |
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: Cámara de Diputados | Statement: [Ley de Ingresos de la Federación, cámaraDeOrigenHabitual, Cámara de Diputados]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cámaraDeOrigenHabitual Context triple: [Ley de Ingresos de la Federación, cámaraDeOrigenHabitual, Cámara de Diputados]
-
A.
traditionallyResidesIn
Indicates that an entity customarily lives or has its long-established home in a particular place or region.
-
B.
hasTraditionalResidenceCountry
Indicates that an entity’s customary or long-term country of residence is the specified country.
-
C.
hasBranchResidenceIn
Indicates that an organization maintains a branch or subsidiary located in a specified place or jurisdiction.
-
D.
originalHomeland
Indicates the place or region that is considered the ancestral or earliest homeland of an entity.
-
E.
permanentResidences
Indicates that one or more entities have a long-term or officially recognized place where they live or are based.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:14 p.m.