Triple

T25152639
Position Surface form Disambiguated ID Type / Status
Subject Tawala language E626219 entity
Predicate ethnicity P194 FINISHED
Object Tawala people
The Tawala people are an indigenous ethnic group of Papua New Guinea, primarily known for their distinct Austronesian language and coastal cultural traditions in the Milne Bay Province.
E2283903 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: Tawala people | Statement: [Tawala language, ethnicity, Tawala people]
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: Tawala people
Triple: [Tawala language, ethnicity, Tawala people]
Generated description
The Tawala people are an indigenous ethnic group of Papua New Guinea, primarily known for their distinct Austronesian language and coastal cultural traditions in the Milne Bay Province.

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_69e2ff2834ec8190b0872e2ec3d76023 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f46b84d59881908e038999896aa8f4 completed May 1, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a43093ab65081909b14f6173b60b5b2 completed June 30, 2026, 12:09 a.m.
NEDg Description generation batch_6a430f33ae288190a102127c8ef207ff completed June 30, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_6a430f91f3e48190b2b3aa15f6deb802 completed June 30, 2026, 12:36 a.m.
Created at: April 18, 2026, 6:30 a.m.