Triple
T37315069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto de Salud para el Bienestar |
E926310
|
entity |
| Predicate | sustituyó a |
P29646
|
FINISHED |
| Object | Seguro Popular |
—
|
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: Seguro Popular | Statement: [Instituto de Salud para el Bienestar, sustituyó a, Seguro Popular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sustituyó a Context triple: [Instituto de Salud para el Bienestar, sustituyó a, Seguro Popular]
-
A.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
B.
replacedWith
chosen
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
C.
partlyReplacedBy
Indicates that one entity has been superseded or substituted in part, but not entirely, by another entity.
-
D.
replacedInQ7By
Indicates that an entity was superseded or substituted by another entity in version or release Q7.
-
E.
replacedInLineupBy
Indicates that one participant in a lineup is substituted or superseded by another participant in that same lineup.
- 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.