Triple
T22672349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pedro Sacatepéquez |
E560251
|
entity |
| Predicate | hasCulture |
P1439
|
FINISHED |
| Object | Mam culture |
—
|
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: Mam culture | Statement: [San Pedro Sacatepéquez, hasCulture, Mam culture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mam culture Context triple: [San Pedro Sacatepéquez, hasCulture, Mam culture]
-
A.
MAM
MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
-
B.
MAMAC
MAMAC is a modern and contemporary art museum in Nice, France, known for its collections of postwar European and American art.
-
C.
MAMM
MAMM is a prominent modern and contemporary art museum in Medellín, Colombia, known for its exhibitions, cultural programs, and role in the city’s artistic revitalization.
-
D.
Mamayi
Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
-
E.
Mam
chosen
Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17820a8088190bc0ce907adf95863 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.