Triple
T23155106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extreme Programming |
E578416
|
entity |
| Predicate | iterationLength |
P147010
|
FINISHED |
| Object | 1 to 3 weeks |
—
|
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: 1 to 3 weeks | Statement: [Extreme Programming, iterationLength, 1 to 3 weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iterationLength Context triple: [Extreme Programming, iterationLength, 1 to 3 weeks]
-
A.
loopLength
chosen
Indicates the length or duration of a complete cycle or loop in a repeated process, path, or sequence.
-
B.
repetitionCount
Indicates the number of times a particular event, action, or pattern is repeated within a given context.
-
C.
instructionLength
Indicates the duration or amount of time required to carry out a given instruction or operation.
-
D.
iterationMatrix
Indicates a matrix that represents the transformation or update applied repeatedly in an iterative process or algorithm.
-
E.
repeatUnitLength
Indicates the length or size of a unit that is repeated within a larger pattern, sequence, or structure.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efca1f081908ff1c34ba25f40c3 |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.