Triple
T8017866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märklin |
E186664
|
entity |
| Predicate | hasSubsidiaryBrand |
P25079
|
FINISHED |
| Object |
LGB
LGB is a model railway brand best known for its large-scale "G" gauge garden trains designed for outdoor and indoor use.
|
E707657
|
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: LGB | Statement: [Märklin, hasSubsidiaryBrand, LGB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGB Context triple: [Märklin, hasSubsidiaryBrand, LGB]
-
A.
LGB
LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
-
B.
LBT
LBT is the public-facing brand name and logo used by Long Beach Transit, the primary public transportation agency serving Long Beach, California, and surrounding areas.
-
C.
LGMT
LGMT is the ICAO airport code for Mytilene International Airport on the Greek island of Lesbos.
-
D.
LBG
LBG is the IATA airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for hosting the Paris Air Show.
-
E.
LGBTPeople
LGBTPeople are individuals whose sexual orientation or gender identity differs from heterosexual and cisgender norms, including lesbian, gay, bisexual, transgender, and other queer identities.
- 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: LGB Triple: [Märklin, hasSubsidiaryBrand, LGB]
Generated description
LGB is a model railway brand best known for its large-scale "G" gauge garden trains designed for outdoor and indoor use.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LGB Target entity description: LGB is a model railway brand best known for its large-scale "G" gauge garden trains designed for outdoor and indoor use.
-
A.
LGB
LGB is the IATA airport code for Long Beach Airport, a public airport serving the Long Beach and greater Los Angeles area in California.
-
B.
LBT
LBT is the public-facing brand name and logo used by Long Beach Transit, the primary public transportation agency serving Long Beach, California, and surrounding areas.
-
C.
LGMT
LGMT is the ICAO airport code for Mytilene International Airport on the Greek island of Lesbos.
-
D.
LBG
LBG is the IATA airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for hosting the Paris Air Show.
-
E.
LGBTPeople
LGBTPeople are individuals whose sexual orientation or gender identity differs from heterosexual and cisgender norms, including lesbian, gay, bisexual, transgender, and other queer identities.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c213ec8190b3bd96c42d1357e4 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58a9e94081908980e2c60be38642 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbaefb481909eb325f0d27675c0 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:20 p.m.