Triple
T1483958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Look-and-say sequence |
E29421
|
entity |
| Predicate | hasGrowthRate |
P29162
|
FINISHED |
| Object | approximately 1.303577269 |
—
|
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: approximately 1.303577269 | Statement: [Look-and-say sequence, hasGrowthRate, approximately 1.303577269]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrowthRate Context triple: [Look-and-say sequence, hasGrowthRate, approximately 1.303577269]
-
A.
growthType
Indicates the manner or pattern in which something develops or increases over time.
-
B.
isFastGrowing
Indicates that an entity increases in size, quantity, or impact at a rapid or above-average rate over time.
-
C.
isGrowthOriented
Indicates that an entity prioritizes expansion, development, or improvement as a primary focus or guiding principle.
-
D.
hadGrowthPeriod
Indicates that an entity experienced a specific span of time during which it underwent growth or development.
-
E.
reproductionRate
Indicates the frequency or speed at which an entity produces new offspring or copies of itself over a given time or condition.
- F. None of above. chosen
Provenance (4 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:12 p.m.