Triple
T7338009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-pentomino |
E169178
|
entity |
| Predicate | maximumPopulationDuringEvolution |
P6809
|
FINISHED |
| Object | 116 |
—
|
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: 116 | Statement: [R-pentomino, maximumPopulationDuringEvolution, 116]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPopulationDuringEvolution Context triple: [R-pentomino, maximumPopulationDuringEvolution, 116]
-
A.
populationAtPeak
chosen
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
-
B.
numberOfBreedingFemalesAtLowPoint
Indicates the count of breeding females in a population at its lowest observed point in time.
-
C.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
D.
evolutionaryPhase
Indicates the stage or period an entity is in within a broader process of gradual development or evolution.
-
E.
maximumRecordedLifespan
Indicates the greatest length of time that has ever been recorded for an individual of a given type to live.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:04 p.m.