Triple
T7291039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blablanga language |
E164391
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Zabana language |
E147715
|
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: Zabana language | Statement: [Blablanga language, neighboringLanguage, Zabana language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabana language Context triple: [Blablanga language, neighboringLanguage, Zabana language]
-
A.
Zabana language
chosen
The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
-
B.
Zhaba language
The Zhaba language is a lesser-known Qiangic tongue spoken by the Zhaba people in parts of Sichuan, China, and is considered endangered.
-
C.
Zay language
Zay language is a South Ethiopic Semitic language spoken by the Zay people on islands and shores of Lake Zway in Ethiopia.
-
D.
Zambal language
Zambal language is an Austronesian language spoken by the Sambal people primarily in the Zambales region of the Philippines.
-
E.
Zaiwa language
The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6e8f3881908628b3d41aad70c6 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4a31608190ba465e22e7a81782 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.