Triple
T12938517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LDLC |
E309577
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Hardware.fr
Hardware.fr is a French technology news and hardware review website known for its in-depth coverage of computer components and consumer electronics.
|
E1011815
|
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: Hardware.fr | Statement: [LDLC, hasSubsidiary, Hardware.fr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hardware.fr Context triple: [LDLC, hasSubsidiary, Hardware.fr]
-
A.
Xnet
Xnet is the underground, encrypted peer-to-peer communication network used by teens to evade government surveillance in Cory Doctorow’s novel "Little Brother."
-
B.
Phones 4u
Phones 4u was a UK-based mobile phone retailer known for its high-street stores and prominent brand marketing before going into administration in 2014.
-
C.
Hardware City
Hardware City is the nickname of New Britain, Connecticut, historically known for its prominent hardware manufacturing industry.
-
D.
Phones 4u Arena
Phones 4u Arena was the sponsored name, from 2013 to 2015, of the large indoor entertainment and sports venue in Manchester now commonly known as Manchester Arena.
-
E.
Micro Center
Micro Center is a U.S.-based retail chain specializing in computers, consumer electronics, and related accessories.
- 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: Hardware.fr Triple: [LDLC, hasSubsidiary, Hardware.fr]
Generated description
Hardware.fr is a French technology news and hardware review website known for its in-depth coverage of computer components and consumer electronics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hardware.fr Target entity description: Hardware.fr is a French technology news and hardware review website known for its in-depth coverage of computer components and consumer electronics.
-
A.
Xnet
Xnet is the underground, encrypted peer-to-peer communication network used by teens to evade government surveillance in Cory Doctorow’s novel "Little Brother."
-
B.
Phones 4u
Phones 4u was a UK-based mobile phone retailer known for its high-street stores and prominent brand marketing before going into administration in 2014.
-
C.
Hardware City
Hardware City is the nickname of New Britain, Connecticut, historically known for its prominent hardware manufacturing industry.
-
D.
Phones 4u Arena
Phones 4u Arena was the sponsored name, from 2013 to 2015, of the large indoor entertainment and sports venue in Manchester now commonly known as Manchester Arena.
-
E.
Micro Center
Micro Center is a U.S.-based retail chain specializing in computers, consumer electronics, and related accessories.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6ef89881908ec3138b9f4a8b1a |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b0660b188190a67bfff73b882d92 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:43 p.m.