Triple
T7622932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʻāhinahina (Haleakalā silversword) |
E172544
|
entity |
| Predicate | floweringStalkHeight |
P66504
|
FINISHED |
| Object | up to about 2 meters |
—
|
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: up to about 2 meters | Statement: [ʻāhinahina (Haleakalā silversword), floweringStalkHeight, up to about 2 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floweringStalkHeight Context triple: [ʻāhinahina (Haleakalā silversword), floweringStalkHeight, up to about 2 meters]
-
A.
inflorescenceHeight
chosen
Indicates the vertical extent or height reached by an inflorescence (flower cluster) from its point of origin.
-
B.
recordInflorescenceHeight
Indicates the action of measuring and documenting the height of an inflorescence for a given subject or specimen.
-
C.
plantHeight
Indicates the measured vertical size or growth extent of a plant from its base to its top.
-
D.
flowerHeadDiameter
Indicates the diameter measurement across the head of a flower.
-
E.
isFlowering
Indicates that an entity is currently undergoing or capable of undergoing the process of producing flowers.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.