Triple
T16951411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qyol Mam |
E411187
|
entity |
| Predicate | alternativeNameOf |
P39
|
FINISHED |
| Object | Mam |
E86612
|
NE 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: Mam | Statement: [Qyol Mam, alternativeNameOf, Mam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mam Context triple: [Qyol Mam, alternativeNameOf, Mam]
-
A.
Mam
chosen
Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
-
B.
Mamiii
"Mamiii" is a hit reggaeton song by Colombian singer Karol G, known for its empowering breakup theme and widespread commercial success across Latin music charts.
-
C.
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.
-
D.
Mams
Mams is a commonly used nickname for Mamelodi, a large township northeast of Pretoria in South Africa.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc04f60081909b7b276a4010c321 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.