Triple
T20072411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuliru |
E499770
|
entity |
| Predicate | speaks |
P741
|
FINISHED |
| Object |
Fuliru language
The Fuliru language is a Bantu language spoken by the Fuliru people in parts of the eastern Democratic Republic of the Congo.
|
E1409760
|
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: Fuliru language | Statement: [Fuliru, speaks, Fuliru language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuliru language Context triple: [Fuliru, speaks, Fuliru language]
-
A.
Lifu language
Lifu language is an Austronesian language spoken on Lifou Island in New Caledonia, more widely known as Drehu.
-
B.
Yulu language
The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
-
C.
Baliledu language
The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
-
D.
Umphai language
The Umphai language is a lesser-known Tai language spoken by an ethnic minority community in Southeast Asia, classified within the Waic branch of the Tai language family.
-
E.
Kulisusu language
The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
- 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: Fuliru language Triple: [Fuliru, speaks, Fuliru language]
Generated description
The Fuliru language is a Bantu language spoken by the Fuliru people in parts of the eastern Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuliru language Target entity description: The Fuliru language is a Bantu language spoken by the Fuliru people in parts of the eastern Democratic Republic of the Congo.
-
A.
Lifu language
Lifu language is an Austronesian language spoken on Lifou Island in New Caledonia, more widely known as Drehu.
-
B.
Yulu language
The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
-
C.
Baliledu language
The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
-
D.
Umphai language
The Umphai language is a lesser-known Tai language spoken by an ethnic minority community in Southeast Asia, classified within the Waic branch of the Tai language family.
-
E.
Kulisusu language
The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664392c748190a6cc472f80b8c74b |
completed | April 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f3f57948190885bf1e6c50e32d5 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08204234a48190b9f9a1907e9eddf6 |
completed | May 16, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082112e7bc8190a10cdee4571d053a |
completed | May 16, 2026, 7:47 a.m. |
Created at: April 11, 2026, 3:40 p.m.