Triple
T15211863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guyasuta |
E363533
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Guyasutha |
E363533
|
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: Guyasutha | Statement: [Guyasuta, hasNameVariant, Guyasutha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guyasutha Context triple: [Guyasuta, hasNameVariant, Guyasutha]
-
A.
Guyasuta
chosen
Guyasuta was an influential 18th-century Seneca war leader and diplomat known for his role in the French and Indian War and Pontiac’s Rebellion.
-
B.
Tewa
Tewa is a group of closely related Tanoan languages spoken by several Pueblo communities in northern New Mexico and parts of Arizona, central to their cultural and ceremonial life.
-
C.
Yámana
The Yámana are an Indigenous people of the southernmost regions of South America, traditionally known as seafaring hunter-gatherers of the Tierra del Fuego archipelago.
-
D.
Guasila
Guasila is a small municipality in southern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
-
E.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076c9e2481909d7a464b2172f4bf |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33f9abc8190bf8166c1fd9fcac6 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.