Triple
T16024815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mam language |
E388690
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Central Mam |
E411185
|
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: Central Mam | Statement: [Mam language, hasDialects, Central Mam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Mam Context triple: [Mam language, hasDialects, Central Mam]
-
A.
Central Mam
chosen
Central Mam is a major regional variety of the Mam Mayan language spoken primarily in the western highlands of Guatemala.
-
B.
Central Mamuju
Central Mamuju is a regency-level administrative area located in West Sulawesi Province on the island of Sulawesi, Indonesia.
-
C.
Central Sama
Central Sama is an Austronesian language spoken by the Sama people of the southern Philippines and nearby regions, known for its role within the Sama–Bajaw language group.
-
D.
Meldois
Meldois is the French demonym for inhabitants of the city of Meaux, located in the Île-de-France region.
-
E.
Central Yana
Central Yana were a Native American group of the Yana people of northern California, culturally and linguistically related to the Yahi.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183258c708190acf1588c7ccb254c |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf31c8d8819096c562ba1453f3c0 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:55 a.m.