Triple
T7690026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallenberg family |
E174220
|
entity |
| Predicate | ownsThrough |
P7585
|
FINISHED |
| Object |
FAM AB
FAM AB is a Swedish investment company that manages and develops long-term holdings on behalf of the Wallenberg family.
|
E681810
|
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: FAM AB | Statement: [Wallenberg family, ownsThrough, FAM AB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAM AB Context triple: [Wallenberg family, ownsThrough, FAM AB]
-
A.
FAM
FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
-
B.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
-
C.
FAMa
FAMa is the national military force of Mali responsible for the country’s defense and security operations.
-
D.
FAMET
FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
-
E.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
- 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: FAM AB Triple: [Wallenberg family, ownsThrough, FAM AB]
Generated description
FAM AB is a Swedish investment company that manages and develops long-term holdings on behalf of the Wallenberg family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAM AB Target entity description: FAM AB is a Swedish investment company that manages and develops long-term holdings on behalf of the Wallenberg family.
-
A.
FAM
FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
-
B.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
-
C.
FAMa
FAMa is the national military force of Mali responsible for the country’s defense and security operations.
-
D.
FAMET
FAMET is the Spanish Army’s aviation branch responsible for operating and supporting its helicopter and air mobility units.
-
E.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702421dec8190a74f8ade992ca811 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a26686a08190acf66586f6c7592b |
completed | March 29, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69c8a34c93a081908ec3509c3abb3866 |
completed | March 29, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3b4e0a88190ad525c83bd03e09f |
completed | March 29, 2026, 3:59 a.m. |
Created at: March 27, 2026, 4:02 p.m.