Triple
T343805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siete Leyes |
E6893
|
entity |
| Predicate | weakened |
P4938
|
FINISHED |
| Object | federalism in Mexico |
—
|
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: federalism in Mexico | Statement: [Siete Leyes, weakened, federalism in Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weakened Context triple: [Siete Leyes, weakened, federalism in Mexico]
-
A.
undermined
chosen
Indicates that one entity has weakened, subverted, or reduced the effectiveness, authority, or stability of another entity or its position.
-
B.
strengthens
Indicates that one entity increases the power, effectiveness, or resilience of another.
-
C.
repealed
Indicates that a law, rule, or regulation has been officially revoked or annulled so that it no longer has legal effect.
-
D.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
E.
disadvantage
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0019088190a9b969c4287dc4fa |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e9530c98819085025efe4e04aa7e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.