Triple
T10203575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museo de Geología de la UNAM |
E238943
|
entity |
| Predicate | relevancia |
P37
|
FINISHED |
| Object | importante museo de geociencias en 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: importante museo de geociencias en México | Statement: [Museo de Geología de la UNAM, relevancia, importante museo de geociencias en México]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relevancia Context triple: [Museo de Geología de la UNAM, relevancia, importante museo de geociencias en México]
-
A.
conservationRelevance
Indicates that something has significance or importance for conservation efforts, such as protecting species, habitats, or ecosystems.
-
B.
moreCloselyRelatedTo
Indicates that one entity has a stronger or closer relationship, connection, or similarity to a second entity than to some other reference entity.
-
C.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
D.
relativeNotability
Indicates how notable or prominent one entity is in comparison to another entity or set of entities.
-
E.
hasCanonicalRelevance
Indicates that something is considered standard, authoritative, or centrally important within an established canon or reference framework.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeed6fd0081908f8afad1ef4c6bff |
completed | April 2, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
Created at: March 30, 2026, 9:14 p.m.