Triple
T1095765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NA48 |
E24267
|
entity |
| Predicate | studiesParticle |
P3639
|
FINISHED |
| Object |
K-short
K-short is the short-lived neutral kaon, a subatomic meson that decays rapidly via the weak interaction and plays a key role in studies of CP violation.
|
E127236
|
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: K-short | Statement: [NA48, studiesParticle, K-short]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-short Context triple: [NA48, studiesParticle, K-short]
-
A.
Shorter
Shorter is a surname of English origin borne by various notable individuals across different fields.
-
B.
Short 184
The Short 184 was a British World War I reconnaissance and torpedo-carrying seaplane widely used for naval operations and notable for conducting the first successful aerial torpedo attack.
-
C.
Too Short
Too Short is an American rapper and pioneer of West Coast hip hop, known for his explicit lyrics and influential role in the Oakland rap scene since the 1980s.
-
D.
Short Cuts
Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
-
E.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
- 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: K-short Triple: [NA48, studiesParticle, K-short]
Generated description
K-short is the short-lived neutral kaon, a subatomic meson that decays rapidly via the weak interaction and plays a key role in studies of CP violation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K-short Target entity description: K-short is the short-lived neutral kaon, a subatomic meson that decays rapidly via the weak interaction and plays a key role in studies of CP violation.
-
A.
Shorter
Shorter is a surname of English origin borne by various notable individuals across different fields.
-
B.
Short 184
The Short 184 was a British World War I reconnaissance and torpedo-carrying seaplane widely used for naval operations and notable for conducting the first successful aerial torpedo attack.
-
C.
Too Short
Too Short is an American rapper and pioneer of West Coast hip hop, known for his explicit lyrics and influential role in the Oakland rap scene since the 1980s.
-
D.
Short Cuts
Short Cuts is a Toronto International Film Festival program showcasing a curated selection of international and Canadian short films across genres and styles.
-
E.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c3bb31881908768a909ce56a95d |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac5020f5748190b89c938240e63637 |
completed | March 7, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac50a982748190964d4fbef332baa5 |
completed | March 7, 2026, 4:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.