Triple
T6474668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ava Guaraní |
E146039
|
entity |
| Predicate | languageFamily |
P1047
|
FINISHED |
| Object | Tupian |
E142313
|
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: Tupian | Statement: [Ava Guaraní, languageFamily, Tupian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tupian Context triple: [Ava Guaraní, languageFamily, Tupian]
-
A.
Tupian
chosen
Tupian is a major indigenous language family of South America, encompassing numerous related languages spoken primarily in Brazil and neighboring regions.
-
B.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
C.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fd1db288190b00ba6d7f3aae925 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:50 p.m.