Triple
T16483942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAC Trumpchi |
E400389
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object |
Trumpchi GA4
The Trumpchi GA4 is a compact sedan produced by Chinese automaker GAC under its Trumpchi brand, positioned as an affordable, modern family car in its lineup.
|
E1216214
|
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: Trumpchi GA4 | Statement: [GAC Trumpchi, notableModel, Trumpchi GA4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trumpchi GA4 Context triple: [GAC Trumpchi, notableModel, Trumpchi GA4]
-
A.
GTM
GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
-
B.
GTM
GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
-
C.
GTC
GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
-
D.
Temu
Temu is an ancient Egyptian creator god, a form of the sun god Atum associated with the setting sun and the completion of creation.
-
E.
TRC
TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
- 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: Trumpchi GA4 Triple: [GAC Trumpchi, notableModel, Trumpchi GA4]
Generated description
The Trumpchi GA4 is a compact sedan produced by Chinese automaker GAC under its Trumpchi brand, positioned as an affordable, modern family car in its lineup.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trumpchi GA4 Target entity description: The Trumpchi GA4 is a compact sedan produced by Chinese automaker GAC under its Trumpchi brand, positioned as an affordable, modern family car in its lineup.
-
A.
GTM
GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
-
B.
GTM
GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
-
C.
GTC
GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
-
D.
Temu
Temu is an ancient Egyptian creator god, a form of the sun god Atum associated with the setting sun and the completion of creation.
-
E.
TRC
TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e0420ac81908f9a3548ddb3b1ff |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005820790c819088d953eeea09328d |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059126e588190b531c145f3c155b4 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059bf355c81909d6796482fe7f3e3 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:13 a.m.