Triple
T7946050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miao languages |
E184499
|
entity |
| Predicate | languageFamilyOf |
P35117
|
FINISHED |
| Object | Hmu |
E704483
|
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: Hmu | Statement: [Miao languages, languageFamilyOf, Hmu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hmu Context triple: [Miao languages, languageFamilyOf, Hmu]
-
A.
Hmu
chosen
Hmu is a major Hmong-Mien (Miao) language spoken primarily by the Miao people in southern China, noted for its complex tonal system and rich oral tradition.
-
B.
MUHA
MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
C.
Muhu
Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
-
D.
Muh-he-con-neok
Muh-he-con-neok is an alternative historical name for the Mahican, a Native American people originally from the Hudson River Valley region.
-
E.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5650cfb08190846e040f85c8369d |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:09 p.m.