Triple
T9215836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helianthus |
E221238
|
entity |
| Predicate | photosensitivity |
P86901
|
FINISHED |
| Object | young flower heads exhibit heliotropism |
—
|
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: young flower heads exhibit heliotropism | Statement: [Helianthus, photosensitivity, young flower heads exhibit heliotropism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photosensitivity Context triple: [Helianthus, photosensitivity, young flower heads exhibit heliotropism]
-
A.
pigmentation
Indicates the presence, type, or degree of coloration in or on an entity.
-
B.
skinCharacteristic
Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
-
C.
lightfastness
Indicates how resistant a material or color is to fading or changing when exposed to light over time.
-
D.
absorbsUVLightAt
Indicates that one entity takes in or attenuates ultraviolet light at a specified wavelength, range, or condition associated with another entity.
-
E.
allergenicity
Indicates that one entity has the capacity to cause an allergic reaction in another entity.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda096358819096d4e790da057512 |
completed | April 1, 2026, 8:40 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc687067fc81909da2d78fda0cdcfb |
completed | April 1, 2026, 12:36 a.m. |
Created at: March 30, 2026, 7:27 p.m.