Triple
T1334162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Civil Code |
E28709
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
BGB
BGB is the foundational codification of private law in Germany, governing areas such as contracts, property, family, and inheritance.
|
E151164
|
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: BGB | Statement: [German Civil Code, abbreviation, BGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BGB Context triple: [German Civil Code, abbreviation, BGB]
-
A.
Trichinopoly
Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
-
B.
BG
BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
-
C.
Shenanigans
Shenanigans is a 2002 compilation album by American punk rock band Green Day, featuring B-sides, rarities, and previously unreleased tracks.
-
D.
Gooba
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
-
E.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
- 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: BGB Triple: [German Civil Code, abbreviation, BGB]
Generated description
BGB is the foundational codification of private law in Germany, governing areas such as contracts, property, family, and inheritance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BGB Target entity description: BGB is the foundational codification of private law in Germany, governing areas such as contracts, property, family, and inheritance.
-
A.
Trichinopoly
Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
-
B.
BG
BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
-
C.
Shenanigans
Shenanigans is a 2002 compilation album by American punk rock band Green Day, featuring B-sides, rarities, and previously unreleased tracks.
-
D.
Gooba
"Gooba" is a 2020 comeback single by American rapper Tekashi 6ix9ine, known for its aggressive style, colorful visuals, and massive online streaming numbers.
-
E.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e98900819092c54c0fb58b958a |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf383b24819092acd076130ca5c0 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf77a3748190a510ea10d8ae4373 |
completed | March 8, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbfe5eae88190ba65808402ada37f |
completed | March 8, 2026, 12:16 a.m. |
Created at: March 1, 2026, 7:55 p.m.