Triple
T12371665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mubi bombings |
E295016
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Mubi
Mubi is a town in Adamawa State, northeastern Nigeria, known as a commercial hub near the Cameroon border and as the site of several deadly insurgent attacks.
|
E978142
|
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: Mubi | Statement: [Mubi bombings, locatedIn, Mubi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mubi Context triple: [Mubi bombings, locatedIn, Mubi]
-
A.
Mubi
Mubi is an Afroasiatic Chadic language spoken primarily in parts of Chad.
-
B.
Mubo
Mubo is a fictional proprietor and droid technician who runs the Droid Depot shop in the Star Wars universe.
-
C.
Kanopy
Kanopy is a streaming video platform that provides on-demand access to films and documentaries, typically through public libraries and educational institutions.
-
D.
Tubi
Tubi is a free, ad-supported streaming service offering a large library of movies and TV shows on demand.
-
E.
Sundance Now
Sundance Now is a subscription streaming service specializing in independent films, documentaries, and prestige television series.
- 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: Mubi Triple: [Mubi bombings, locatedIn, Mubi]
Generated description
Mubi is a town in Adamawa State, northeastern Nigeria, known as a commercial hub near the Cameroon border and as the site of several deadly insurgent attacks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mubi Target entity description: Mubi is a town in Adamawa State, northeastern Nigeria, known as a commercial hub near the Cameroon border and as the site of several deadly insurgent attacks.
-
A.
Mubi
Mubi is an Afroasiatic Chadic language spoken primarily in parts of Chad.
-
B.
Mubo
Mubo is a fictional proprietor and droid technician who runs the Droid Depot shop in the Star Wars universe.
-
C.
Kanopy
Kanopy is a streaming video platform that provides on-demand access to films and documentaries, typically through public libraries and educational institutions.
-
D.
Tubi
Tubi is a free, ad-supported streaming service offering a large library of movies and TV shows on demand.
-
E.
Sundance Now
Sundance Now is a subscription streaming service specializing in independent films, documentaries, and prestige television series.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa7c9ec81908c685612994543e3 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abfd9c081909803691d3fc4f149 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62be4de888190aac94d441748d295 |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d4d0b8881908aa6b67db7d14609 |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:54 p.m.