Triple
T9192650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aslian languages of Peninsular Malaysia |
E220626
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Semai language |
E224201
|
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: Semai language | Statement: [Aslian languages of Peninsular Malaysia, hasMember, Semai language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semai language Context triple: [Aslian languages of Peninsular Malaysia, hasMember, Semai language]
-
A.
Semai language
chosen
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
B.
Damana language
The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
-
C.
Batui language
The Batui language is an Austronesian language spoken in Central Sulawesi, Indonesia, and is part of the Saluan–Banggai subgroup.
-
D.
Segai language
The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
-
E.
Sehwi language
The Sehwi language is a Niger-Congo language spoken primarily by the Sehwi people of western Ghana.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c1fa9c8190bc5cc6dce8778694 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1077a9cb0819086996b4930a44a93 |
completed | April 4, 2026, 12:43 p.m. |
Created at: March 30, 2026, 7:24 p.m.