Triple
T9192617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wa language (Austroasiatic) |
E220625
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Awa
Awa is an alternative name for the Wa language, an Austroasiatic language spoken by the Wa people in parts of China and Myanmar.
|
E786739
|
NE FINISHED |
How this triple was built (4 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: Awa | Statement: [Wa language (Austroasiatic), hasAlternativeName, Awa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awa Context triple: [Wa language (Austroasiatic), hasAlternativeName, Awa]
-
A.
Awá
The Awá are an Indigenous people of the Colombia–Ecuador border region, known for their rainforest-based livelihoods and strong defense of their ancestral territories.
-
B.
Kawa
Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
-
C.
Kawa
Kawa is an indigenous subgroup of the Waic people, known for its distinct cultural and linguistic identity within this broader ethnic group.
-
D.
Suawa
Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
-
E.
Ouakam
Ouakam is a coastal district of Dakar, Senegal, known for its historic fishing community, military installations, and prominent location beneath the African Renaissance Monument.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Awa Triple: [Wa language (Austroasiatic), hasAlternativeName, Awa]
Generated description
Awa is an alternative name for the Wa language, an Austroasiatic language spoken by the Wa people in parts of China and Myanmar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Awa Target entity description: Awa is an alternative name for the Wa language, an Austroasiatic language spoken by the Wa people in parts of China and Myanmar.
-
A.
Awá
The Awá are an Indigenous people of the Colombia–Ecuador border region, known for their rainforest-based livelihoods and strong defense of their ancestral territories.
-
B.
Kawa
Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
-
C.
Kawa
Kawa is an indigenous subgroup of the Waic people, known for its distinct cultural and linguistic identity within this broader ethnic group.
-
D.
Suawa
Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
-
E.
Ouakam
Ouakam is a coastal district of Dakar, Senegal, known for its historic fishing community, military installations, and prominent location beneath the African Renaissance Monument.
- F. None of above. chosen
Provenance (5 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_69d077797be081908300a5baa0041ce5 |
completed | April 4, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69d078c3d0348190abc0f4108e4f8192 |
completed | April 4, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07923bef48190a6c949d4fedc1342 |
completed | April 4, 2026, 2:36 a.m. |
Created at: March 30, 2026, 7:24 p.m.