Triple
T12480406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei Mobile Services |
E298287
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
HMS Apps
HMS Apps is a collection of Huawei-developed mobile applications that provide core functionality and services within the Huawei Mobile Services ecosystem.
|
E984197
|
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: HMS Apps | Statement: [Huawei Mobile Services, hasComponent, HMS Apps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HMS Apps Context triple: [Huawei Mobile Services, hasComponent, HMS Apps]
-
A.
Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
-
B.
Applegate
Applegate is a natural and organic meat and cheese brand known for its minimally processed products and commitment to animal welfare.
-
C.
Platform 7
Platform 7 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
-
D.
Syl Apps
Syl Apps was a Canadian professional ice hockey centre and Hall of Famer best known as a star player for the Toronto Maple Leafs in the 1930s and 1940s.
-
E.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
- 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: HMS Apps Triple: [Huawei Mobile Services, hasComponent, HMS Apps]
Generated description
HMS Apps is a collection of Huawei-developed mobile applications that provide core functionality and services within the Huawei Mobile Services ecosystem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HMS Apps Target entity description: HMS Apps is a collection of Huawei-developed mobile applications that provide core functionality and services within the Huawei Mobile Services ecosystem.
-
A.
Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
-
B.
Applegate
Applegate is a natural and organic meat and cheese brand known for its minimally processed products and commitment to animal welfare.
-
C.
Platform 7
Platform 7 is one of the passenger train platforms at Perth railway station in Perth, Western Australia.
-
D.
Syl Apps
Syl Apps was a Canadian professional ice hockey centre and Hall of Famer best known as a star player for the Toronto Maple Leafs in the 1930s and 1940s.
-
E.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcdcd3c81908ad29145db241408 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2732a08190890493925e41a6e1 |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f640b513488190893359e9964dbe98 |
completed | May 2, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641abe114819093d99a327f2220c2 |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:56 p.m.