Triple
T7261238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aru languages |
E159656
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
|
E651513
|
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: Aru | Statement: [Aru languages, glottologName, Aru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aru Context triple: [Aru languages, glottologName, Aru]
-
A.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
B.
Aro
Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
-
C.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
-
D.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
E.
Arka
Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
- 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: Aru Triple: [Aru languages, glottologName, Aru]
Generated description
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aru Target entity description: Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
A.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
B.
Aro
Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
-
C.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
-
D.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
E.
Arka
Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac79fd081909274aa10ffb192aa |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3bda4808190810f2d170cb693b9 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d469fd0081908943099685f94c8b |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d52299108190974a2e62d6f96610 |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:57 p.m.