Triple
T772059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAIC Motor |
E16302
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
MG
MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
|
E91030
|
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: MG | Statement: [SAIC Motor, hasBrand, MG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG Context triple: [SAIC Motor, hasBrand, MG]
-
A.
MGA
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
-
B.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
C.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
D.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
-
E.
MH
MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
- 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: MG Triple: [SAIC Motor, hasBrand, MG]
Generated description
MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MG Target entity description: MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
-
A.
MGA
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
-
B.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
C.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
D.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
-
E.
MH
MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a706abf88190a1cbc2dfbbf9968a |
completed | March 1, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6667aabe08190b56f129864082c84 |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a66783f6cc819089570965e48b5749 |
completed | March 3, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a667e58f988190be20a9aa3c8359fd |
completed | March 3, 2026, 4:47 a.m. |
Created at: March 1, 2026, 7:37 p.m.