Triple
T37315082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto de Salud para el Bienestar |
E926310
|
entity |
| Predicate | marco |
P187727
|
FINISHED |
| Object | sistema nacional de salud de México |
—
|
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: sistema nacional de salud de México | Statement: [Instituto de Salud para el Bienestar, marco, sistema nacional de salud de México]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marco Context triple: [Instituto de Salud para el Bienestar, marco, sistema nacional de salud de México]
-
A.
marque
Indicates that one entity is the brand or make associated with another entity, such as a product, vehicle, or manufactured item.
-
B.
marker
Indicates a relationship where one entity serves as a sign, label, or indicator that identifies, distinguishes, or signals a property or status of another entity.
-
C.
marked
Indicates that one entity has been identified, labeled, or highlighted in some way by another entity.
-
D.
meaningComponent_mar
Indicates that something is a semantic or conceptual component contributing to the overall meaning of another item, such as a word, phrase, or expression.
-
E.
marksOn
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:16 p.m.