Triple
T19925416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JD.com |
E478909
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
JD Health
JD Health is a major Chinese online healthcare platform and pharmacy service provider under e-commerce giant JD.com, offering telemedicine, drug retail, and health management services.
|
E1402401
|
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: JD Health | Statement: [JD.com, hasSubsidiary, JD Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JD Health Context triple: [JD.com, hasSubsidiary, JD Health]
-
A.
Hims
Hims is an alternative transliteration of Homs, a major city in western Syria known historically as Emesa.
-
B.
Grindr
Grindr is a location-based social networking and online dating app primarily used by gay, bi, trans, and queer people to meet and connect.
-
C.
SheKnows
SheKnows is a digital media brand focused on lifestyle, entertainment, and parenting content primarily for women.
-
D.
eHarmony
eHarmony is an online dating platform known for its detailed compatibility-based matching system designed to foster long-term relationships.
-
E.
One Medical
One Medical is a membership-based primary care provider that offers technology-enabled, patient-centered medical services through both in-person clinics and virtual care.
- 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: JD Health Triple: [JD.com, hasSubsidiary, JD Health]
Generated description
JD Health is a major Chinese online healthcare platform and pharmacy service provider under e-commerce giant JD.com, offering telemedicine, drug retail, and health management services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JD Health Target entity description: JD Health is a major Chinese online healthcare platform and pharmacy service provider under e-commerce giant JD.com, offering telemedicine, drug retail, and health management services.
-
A.
Hims
Hims is an alternative transliteration of Homs, a major city in western Syria known historically as Emesa.
-
B.
Grindr
Grindr is a location-based social networking and online dating app primarily used by gay, bi, trans, and queer people to meet and connect.
-
C.
SheKnows
SheKnows is a digital media brand focused on lifestyle, entertainment, and parenting content primarily for women.
-
D.
eHarmony
eHarmony is an online dating platform known for its detailed compatibility-based matching system designed to foster long-term relationships.
-
E.
One Medical
One Medical is a membership-based primary care provider that offers technology-enabled, patient-centered medical services through both in-person clinics and virtual care.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c992fc8190bd262d528be0e636 |
completed | April 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6dfd9ec8190a31159da88123135 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f81fe8888190bb61f62a7dec8273 |
completed | May 16, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f8b11d6c8190ad4c7c7711ff2872 |
completed | May 16, 2026, 4:55 a.m. |
Created at: April 10, 2026, 1:53 p.m.