Triple
T31250180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howea forsteriana |
E796792
|
entity |
| Predicate | maximumHeightInCultivation |
P1342
|
FINISHED |
| Object | about 3 meters indoors |
—
|
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: about 3 meters indoors | Statement: [Howea forsteriana, maximumHeightInCultivation, about 3 meters indoors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumHeightInCultivation Context triple: [Howea forsteriana, maximumHeightInCultivation, about 3 meters indoors]
-
A.
plantHeight
chosen
Indicates the measured vertical size or growth extent of a plant from its base to its top.
-
B.
inflorescenceHeight
Indicates the vertical extent or height reached by an inflorescence (flower cluster) from its point of origin.
-
C.
recordInflorescenceHeight
Indicates the action of measuring and documenting the height of an inflorescence for a given subject or specimen.
-
D.
maximumPinnacleHeight
Indicates the greatest vertical height reached at the highest point (pinnacle) of an object, structure, or formation.
-
E.
cultivatedIndoors
Indicates that an entity is grown or maintained within an indoor environment rather than outdoors.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 29, 2026, 9:11 p.m.