Triple
T23363029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proximity Services |
E593236
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
ProSe
ProSe is a 3GPP-defined proximity-based communication technology that enables direct device-to-device discovery and data exchange without always relying on traditional cellular network infrastructure.
|
E1584711
|
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: ProSe | Statement: [Proximity Services, alsoKnownAs, ProSe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ProSe Context triple: [Proximity Services, alsoKnownAs, ProSe]
-
A.
Prossedi
Prossedi is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
B.
Proz
Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
-
C.
The Pro
The Pro is a satirical superhero comic book written by Garth Ennis that follows a foul-mouthed sex worker who unexpectedly gains superpowers and joins a Justice League–style team.
-
D.
ProB
ProB is a lower-tier football league in the French league system, positioned below the top professional division.
-
E.
Proval
Proval is a surname most notably associated with American actor David Proval, known for his roles in film and television.
- 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: ProSe Triple: [Proximity Services, alsoKnownAs, ProSe]
Generated description
ProSe is a 3GPP-defined proximity-based communication technology that enables direct device-to-device discovery and data exchange without always relying on traditional cellular network infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ProSe Target entity description: ProSe is a 3GPP-defined proximity-based communication technology that enables direct device-to-device discovery and data exchange without always relying on traditional cellular network infrastructure.
-
A.
Prossedi
Prossedi is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
B.
Proz
Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
-
C.
The Pro
The Pro is a satirical superhero comic book written by Garth Ennis that follows a foul-mouthed sex worker who unexpectedly gains superpowers and joins a Justice League–style team.
-
D.
ProB
ProB is a lower-tier football league in the French league system, positioned below the top professional division.
-
E.
Proval
Proval is a surname most notably associated with American actor David Proval, known for his roles in film and television.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aa0ed88190b0198cbfd1bcc59b |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd5ca4881909453c262d6ab9b1a |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c61cdf14481909173cc65e16f2c82 |
completed | May 19, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c625b52248190ba3d59f42dd99da3 |
completed | May 19, 2026, 1:15 p.m. |
Created at: April 17, 2026, 5:30 p.m.