Triple
T3109093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arapaho language |
E64905
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Hinónoʼeitíít
Hinónoʼeitíít is the endonym used by the Arapaho people for their own language.
|
E327059
|
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: Hinónoʼeitíít | Statement: [Arapaho language, hasAlternativeName, Hinónoʼeitíít]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinónoʼeitíít Context triple: [Arapaho language, hasAlternativeName, Hinónoʼeitíít]
-
A.
Daihonʼei
Daihonʼei was the Imperial Japanese military’s highest command authority during World War II, directing both army and navy operations under the emperor.
-
B.
Ininīmowin
Ininīmowin is the autonym used by Cree speakers to refer to their own language.
-
C.
Ehoiai
Ehoiai is an alternative title for the ancient Greek Hesiodic Catalogue of Women, a fragmentary epic poem that recounts the genealogies and heroic myths of legendary women.
-
D.
Inuinnaqtun
Inuinnaqtun is an Inuit language spoken in parts of the Canadian Arctic, particularly in western Nunavut and the Northwest Territories.
-
E.
Oshiwambo
Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
- 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: Hinónoʼeitíít Triple: [Arapaho language, hasAlternativeName, Hinónoʼeitíít]
Generated description
Hinónoʼeitíít is the endonym used by the Arapaho people for their own language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hinónoʼeitíít Target entity description: Hinónoʼeitíít is the endonym used by the Arapaho people for their own language.
-
A.
Daihonʼei
Daihonʼei was the Imperial Japanese military’s highest command authority during World War II, directing both army and navy operations under the emperor.
-
B.
Ininīmowin
Ininīmowin is the autonym used by Cree speakers to refer to their own language.
-
C.
Ehoiai
Ehoiai is an alternative title for the ancient Greek Hesiodic Catalogue of Women, a fragmentary epic poem that recounts the genealogies and heroic myths of legendary women.
-
D.
Inuinnaqtun
Inuinnaqtun is an Inuit language spoken in parts of the Canadian Arctic, particularly in western Nunavut and the Northwest Territories.
-
E.
Oshiwambo
Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada2a0ab2481908db50738ec3ad0fb |
completed | March 8, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203902a6881909b20589fad629640 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204b575c88190a5d3705c81f0dc6b |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b20574fab48190bf48d62d35dd4ed5 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.