Triple
T17520768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd’s algorithm |
E426673
|
entity |
| Predicate | assignmentStepDescription |
P105614
|
FINISHED |
| Object | assign each point to the nearest cluster center |
—
|
LITERAL FINISHED |
How this triple was built (2 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: assign each point to the nearest cluster center | Statement: [Lloyd’s algorithm, assignmentStepDescription, assign each point to the nearest cluster center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assignmentStepDescription Context triple: [Lloyd’s algorithm, assignmentStepDescription, assign each point to the nearest cluster center]
-
A.
administrationStep
Indicates a specific phase or stage within a broader administrative or management process.
-
B.
stepType
chosen
Indicates the specific kind or category of step an entity represents within a process or sequence.
-
C.
awardProcessStep
Indicates the specific stage or phase within a broader award-related process through which an entity is currently progressing or has progressed.
-
D.
keyStep
Indicates a crucial or essential step within a larger process, sequence, or procedure.
-
E.
stepInRoutine
Indicates that an action or event occurs as an ordered step within a larger, structured routine or sequence of activities.
- F. None of above.
Provenance (3 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d23cf08190925510344fa36f57 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.