Triple
T15269248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rembarrnga |
E364976
|
entity |
| Predicate | hasNeighboringLanguage |
P16383
|
FINISHED |
| Object |
Ngandi
Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
|
E1148889
|
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: Ngandi | Statement: [Rembarrnga, hasNeighboringLanguage, Ngandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngandi Context triple: [Rembarrnga, hasNeighboringLanguage, Ngandi]
-
A.
Galibi
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
B.
Gandil
Gandil is the surname of Chick Gandil, an American baseball first baseman best known as a ringleader in the 1919 Black Sox scandal.
-
C.
Shundi
Shundi is a fictional kingdom from Satyajit Ray’s Bengali fantasy film and stories featuring Goopy and Bagha, known for its whimsical, magical setting.
-
D.
Nandinha
Nandinha is a diminutive, affectionate nickname commonly used in Portuguese for someone named Fernanda.
-
E.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
- 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: Ngandi Triple: [Rembarrnga, hasNeighboringLanguage, Ngandi]
Generated description
Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngandi Target entity description: Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
-
A.
Galibi
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
B.
Gandil
Gandil is the surname of Chick Gandil, an American baseball first baseman best known as a ringleader in the 1919 Black Sox scandal.
-
C.
Shundi
Shundi is a fictional kingdom from Satyajit Ray’s Bengali fantasy film and stories featuring Goopy and Bagha, known for its whimsical, magical setting.
-
D.
Nandinha
Nandinha is a diminutive, affectionate nickname commonly used in Portuguese for someone named Fernanda.
-
E.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6fc290819096ef03f8ecae8876 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef38868548190877cf25a38bb805a |
completed | May 9, 2026, 8:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef435b1208190bd839297a2f8d3f4 |
completed | May 9, 2026, 8:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.