Triple
T11100206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LF Edge |
E262481
|
entity |
| Predicate | hosts |
P186
|
FINISHED |
| Object |
Home Edge
Home Edge is an open-source edge computing project under the LF Edge umbrella focused on enabling smart home and IoT services at the network edge.
|
E904612
|
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: Home Edge | Statement: [LF Edge, hosts, Home Edge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Home Edge Context triple: [LF Edge, hosts, Home Edge]
-
A.
Edge
Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
-
B.
Edge
Edge is a theatrical work by Canadian playwright and performer Ann-Marie MacDonald that dramatizes the life and struggles of poet Sylvia Plath.
-
C.
Edge
Edge is a glass-floored outdoor observation deck at 30 Hudson Yards in New York City, offering panoramic views of the Manhattan skyline.
-
D.
Edge
Edge is a Canadian professional wrestler and WWE Hall of Famer renowned for his multiple world championships, charismatic persona, and pioneering work in ladder and TLC matches.
-
E.
EDGE
EDGE is a second-generation (2G) mobile data technology that provides enhanced data rates over GSM networks for basic internet and multimedia services.
- 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: Home Edge Triple: [LF Edge, hosts, Home Edge]
Generated description
Home Edge is an open-source edge computing project under the LF Edge umbrella focused on enabling smart home and IoT services at the network edge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Home Edge Target entity description: Home Edge is an open-source edge computing project under the LF Edge umbrella focused on enabling smart home and IoT services at the network edge.
-
A.
Edge
Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
-
B.
Edge
Edge is a theatrical work by Canadian playwright and performer Ann-Marie MacDonald that dramatizes the life and struggles of poet Sylvia Plath.
-
C.
Edge
Edge is a glass-floored outdoor observation deck at 30 Hudson Yards in New York City, offering panoramic views of the Manhattan skyline.
-
D.
Edge
Edge is a Canadian professional wrestler and WWE Hall of Famer renowned for his multiple world championships, charismatic persona, and pioneering work in ladder and TLC matches.
-
E.
EDGE
EDGE is a second-generation (2G) mobile data technology that provides enhanced data rates over GSM networks for basic internet and multimedia services.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a29ee6c819092bc0da3f9255389 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7f9b46881909761ed448fa5ce6e |
completed | April 18, 2026, 8:22 p.m. |
| NEDg | Description generation | batch_69e3f2cbb4708190a328cff473104d14 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f497a01881909d1dae70a02e5f97 |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.