Triple
T3649163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokutsan languages |
E77375
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Gashowu
Gashowu is a dialect of the Yokutsan family of Indigenous languages traditionally spoken in California’s Central Valley.
|
E376465
|
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: Gashowu | Statement: [Yokutsan languages, hasDialect, Gashowu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gashowu Context triple: [Yokutsan languages, hasDialect, Gashowu]
-
A.
Gashua
Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
-
B.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
C.
Gagode
Gagode is a village in Maharashtra, India, known primarily as the birthplace of the social reformer and Gandhian leader Vinoba Bhave.
-
D.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
E.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
- 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: Gashowu Triple: [Yokutsan languages, hasDialect, Gashowu]
Generated description
Gashowu is a dialect of the Yokutsan family of Indigenous languages traditionally spoken in California’s Central Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gashowu Target entity description: Gashowu is a dialect of the Yokutsan family of Indigenous languages traditionally spoken in California’s Central Valley.
-
A.
Gashua
Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
-
B.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
C.
Gagode
Gagode is a village in Maharashtra, India, known primarily as the birthplace of the social reformer and Gandhian leader Vinoba Bhave.
-
D.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
E.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38c22548190a271a69fb832a5a8 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3c85348190b1d16179294f7f09 |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b4520fb96481909f54af01fc4a3bbe |
completed | March 13, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45df65f5c8190a9f25e7da926222a |
completed | March 13, 2026, 6:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.