Triple
T461975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boltzmann constant |
E7358
|
entity |
| Predicate | symbol |
P129
|
FINISHED |
| Object |
k_B
k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
|
E57427
|
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_B | Statement: [Boltzmann constant, symbol, k_B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: k_B Context triple: [Boltzmann constant, symbol, k_B]
-
A.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
B.
KB
KB is a distinct entity from Kt, likely representing a separate concept, object, or identifier within the same domain.
-
C.
KBE
KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
-
D.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
E.
KC
KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
- 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_B Triple: [Boltzmann constant, symbol, k_B]
Generated description
k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: k_B Target entity description: k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
-
A.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
B.
KB
KB is a distinct entity from Kt, likely representing a separate concept, object, or identifier within the same domain.
-
C.
KBE
KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
-
D.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
E.
KC
KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44f59e9348190a53c1734b95bc2c3 |
completed | March 1, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69a44fb74a4481908538fa126571f803 |
completed | March 1, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a45011a750819098d2ce4908439eb1 |
completed | March 1, 2026, 2:41 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.