Triple
T3831821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG Motor |
E91029
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object |
MG Hector
The MG Hector is a mid-size SUV produced by MG Motor, known for its connected-car technology, spacious interior, and strong value proposition in markets like India.
|
E392644
|
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 Hector | Statement: [MG Motor, notableModel, MG Hector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG Hector Context triple: [MG Motor, notableModel, MG Hector]
-
A.
Coronel
Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
-
B.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
-
C.
Catroux
Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
-
D.
Guardbridge
Guardbridge is a small Scottish village in Fife, situated near the River Eden and known historically for its paper mill and as a gateway to St Andrews.
-
E.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
- 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 Hector Triple: [MG Motor, notableModel, MG Hector]
Generated description
The MG Hector is a mid-size SUV produced by MG Motor, known for its connected-car technology, spacious interior, and strong value proposition in markets like India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MG Hector Target entity description: The MG Hector is a mid-size SUV produced by MG Motor, known for its connected-car technology, spacious interior, and strong value proposition in markets like India.
-
A.
Coronel
Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
-
B.
Gourette
Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
-
C.
Catroux
Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
-
D.
Guardbridge
Guardbridge is a small Scottish village in Fife, situated near the River Eden and known historically for its paper mill and as a gateway to St Andrews.
-
E.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8787bc8190819a7af975b609df |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503fcddb481909690b708754d3d8a |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b5057089e88190b3c5b85503b3f8fa |
completed | March 14, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b505ec14b481909b71e66d68473c20 |
completed | March 14, 2026, 6:53 a.m. |
Created at: March 9, 2026, 3:17 p.m.