Triple
T21413200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itawit-Tawit |
E528228
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object | Malaweg language |
—
|
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: Malaweg language | Statement: [Itawit-Tawit, isRelatedTo, Malaweg language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaweg language Context triple: [Itawit-Tawit, isRelatedTo, Malaweg language]
-
A.
Malaweg language
chosen
The Malaweg language is an Austronesian language spoken primarily in the northern Philippines, particularly in parts of Cagayan province, by the Malaweg ethnic group.
-
B.
Marakwet language
The Marakwet language is a Southern Nilotic language spoken by the Marakwet people of Kenya and is closely related to other Kalenjin languages such as Kipsigis.
-
C.
Malasanga language
The Malasanga language is an Oceanic language spoken in Papua New Guinea, belonging to the Kula–Malasanga subgroup of the Austronesian language family.
-
D.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
-
E.
Silozi language
The Silozi language is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b20017d8819096b1a679edc8943a |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:44 p.m.