Triple
T37088607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ley de Ingresos de la Federación |
E918354
|
entity |
| Predicate | sePresentaAnte |
P15622
|
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, sePresentaAnte, Cámara de Diputados]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sePresentaAnte Context triple: [Ley de Ingresos de la Federación, sePresentaAnte, Cámara de Diputados]
-
A.
presentedBy
Indicates that something (such as an event, performance, or work) is formally organized, hosted, or introduced by a particular person or entity.
-
B.
presentedBefore
Indicates that one entity was formally shown, introduced, or displayed to an audience or recipient prior to another entity in time.
-
C.
presentedFor
chosen
Indicates that one entity was formally offered, submitted, or shown to another entity for consideration, review, or action.
-
D.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
E.
hasPresentation
Indicates that an entity delivers, contains, or is associated with a specific presentation (such as a talk, slide deck, or formal display of information).
- 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_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. |
Created at: May 3, 2026, 4:14 p.m.