Triple
T9389423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decreto Constitucional para la Libertad de la América Mexicana |
E225986
|
entity |
| Predicate | númeroPoderes |
P29275
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Decreto Constitucional para la Libertad de la América Mexicana, númeroPoderes, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: númeroPoderes Context triple: [Decreto Constitucional para la Libertad de la América Mexicana, númeroPoderes, 3]
-
A.
hasNumberOfPowers
chosen
Indicates the quantity of distinct powers or abilities that an entity possesses.
-
B.
notablePower
Indicates that an entity possesses a significant or distinguished form of power, influence, or capability that is recognized as noteworthy.
-
C.
powerLevel
Indicates the degree or intensity of power or strength possessed by an entity in a given context.
-
D.
enhancesPowersOf
Indicates that one entity increases, amplifies, or strengthens the abilities or powers of another entity.
-
E.
notableAbsorbedPowersFrom
Indicates that one entity is known for having taken in or acquired powers or abilities from another entity.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d83c188190925c389dff1341b0 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:45 p.m.