Triple
T4575361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplementary Multilingual Plane |
E123128
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bamum Supplement block
The Bamum Supplement block is a range of Unicode code points that encodes additional characters for the historic Bamum script used in Cameroon.
|
E453715
|
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: Bamum Supplement block | Statement: [Supplementary Multilingual Plane, contains, Bamum Supplement block]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamum Supplement block Context triple: [Supplementary Multilingual Plane, contains, Bamum Supplement block]
-
A.
BAM
BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
-
B.
Block 1B
Block 1B is an upgraded configuration of NASA’s Space Launch System designed to carry heavier payloads and support crewed deep-space missions beyond low Earth orbit.
-
C.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
-
D.
Bam
Bam is a music producer known for working on the track "Dilemma."
-
E.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
- 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: Bamum Supplement block Triple: [Supplementary Multilingual Plane, contains, Bamum Supplement block]
Generated description
The Bamum Supplement block is a range of Unicode code points that encodes additional characters for the historic Bamum script used in Cameroon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bamum Supplement block Target entity description: The Bamum Supplement block is a range of Unicode code points that encodes additional characters for the historic Bamum script used in Cameroon.
-
A.
BAM
BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
-
B.
Block 1B
Block 1B is an upgraded configuration of NASA’s Space Launch System designed to carry heavier payloads and support crewed deep-space missions beyond low Earth orbit.
-
C.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
-
D.
Bam
Bam is a music producer known for working on the track "Dilemma."
-
E.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c9f0bc81908d87f01ab067818a |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3e656a08190bb48d2ecae1eb798 |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd71b55d8819085340c8abb9c369e |
completed | March 20, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd78c9a008190b774db2742a3b371 |
completed | March 20, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:10 p.m.