Triple
T21500417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misumalpan languages |
E530459
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Misumalpan |
—
|
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: Misumalpan | Statement: [Misumalpan languages, glottologName, Misumalpan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misumalpan Context triple: [Misumalpan languages, glottologName, Misumalpan]
-
A.
Misumalpan
chosen
Misumalpan is a small family of indigenous languages of Central America, including Miskito and related languages spoken primarily in eastern Nicaragua and Honduras.
-
B.
Pumanque
Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
-
C.
Kaurareg
Kaurareg is a dialect of the Kalaw Lagaw Ya language traditionally spoken by the Kaurareg people of the Torres Strait in northern Australia.
-
D.
Nainwa
Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
-
E.
Caanamongan
Caanamongan is a barangay (village-level administrative division) within the municipality of Santa Ignacia in the Philippines.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5ae154819090299773b373b921 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.