Triple
T10859654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gio people |
E256364
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Gio language
Gio language is the native tongue of the Gio people, a Mande ethnic group primarily living in Liberia and neighboring West African regions.
|
E888552
|
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: Gio language | Statement: [Gio people, language, Gio language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gio language Context triple: [Gio people, language, Gio language]
-
A.
Io (programming language)
Io is a prototype-based, minimalist programming language known for its small, highly reflective core and message-passing object model inspired by languages like Smalltalk and Lua.
-
B.
Lio language
Lio language is an Austronesian language spoken by the Lio people on Flores Island in Indonesia.
-
C.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
-
D.
Ga language
The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
-
E.
Jova language
The Jova language is an extinct Uto-Aztecan language once spoken by the Jova people of northern Mexico, historically associated with the Taracahitic branch.
- 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: Gio language Triple: [Gio people, language, Gio language]
Generated description
Gio language is the native tongue of the Gio people, a Mande ethnic group primarily living in Liberia and neighboring West African regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gio language Target entity description: Gio language is the native tongue of the Gio people, a Mande ethnic group primarily living in Liberia and neighboring West African regions.
-
A.
Io (programming language)
Io is a prototype-based, minimalist programming language known for its small, highly reflective core and message-passing object model inspired by languages like Smalltalk and Lua.
-
B.
Lio language
Lio language is an Austronesian language spoken by the Lio people on Flores Island in Indonesia.
-
C.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
-
D.
Ga language
The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
-
E.
Jova language
The Jova language is an extinct Uto-Aztecan language once spoken by the Jova people of northern Mexico, historically associated with the Taracahitic branch.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75150ceb88190a70356d12ce130c5 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb1a0a9188190be0e9677884f3e93 |
completed | April 14, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69deb544eff88190b182e5d753b07df7 |
completed | April 14, 2026, 9:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb6973af481909b30489aaee94149 |
completed | April 14, 2026, 9:50 p.m. |
Created at: April 8, 2026, 9:20 p.m.