Triple
T2466814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adamawa–Ubangi languages |
E55269
|
entity |
| Predicate | hasNotableLanguage |
P7390
|
FINISHED |
| Object |
Day language
Day is a lesser-known Adamawa–Ubangi language spoken by the Day people in parts of Chad and the Central African Republic.
|
E270022
|
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: Day language | Statement: [Adamawa–Ubangi languages, hasNotableLanguage, Day language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day language Context triple: [Adamawa–Ubangi languages, hasNotableLanguage, Day language]
-
A.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
-
B.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
C.
Day & Night
Day & Night is a residential heating and cooling equipment brand offering furnaces, air conditioners, and related HVAC products.
-
D.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
E.
The Morning
"The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
- 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: Day language Triple: [Adamawa–Ubangi languages, hasNotableLanguage, Day language]
Generated description
Day is a lesser-known Adamawa–Ubangi language spoken by the Day people in parts of Chad and the Central African Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Day language Target entity description: Day is a lesser-known Adamawa–Ubangi language spoken by the Day people in parts of Chad and the Central African Republic.
-
A.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
-
B.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
C.
Day & Night
Day & Night is a residential heating and cooling equipment brand offering furnaces, air conditioners, and related HVAC products.
-
D.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
E.
The Morning
"The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd13310a8819095fd70672f933aa3 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af179ccbd081908b7cff0052597e85 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1909dd588190b0311d0464ad4cda |
completed | March 9, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af19e240148190be7645e1813e0bae |
completed | March 9, 2026, 7:05 p.m. |
Created at: March 6, 2026, 9:44 p.m.