Triple
T34046483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melatonin |
E873099
|
entity |
| Predicate | hasSecretionPattern |
P188705
|
FINISHED |
| Object | higher at night |
—
|
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: higher at night | Statement: [Melatonin, hasSecretionPattern, higher at night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecretionPattern Context triple: [Melatonin, hasSecretionPattern, higher at night]
-
A.
leafSecretionType
Indicates the type or nature of substances secreted by a plant’s leaves.
-
B.
secretionSystem
chosen
Indicates a relationship where one entity produces and releases substances (such as proteins or chemicals) through a specialized biological secretion mechanism or system.
-
C.
hasPeripheralPattern
Indicates that one entity exhibits or is characterized by a pattern located at or toward the periphery or outer boundary of another entity.
-
D.
hasSpiralPattern
Indicates that one entity exhibits or possesses a spiral-shaped pattern or arrangement in relation to another.
-
E.
hasSerpentineAppearance
Indicates that an entity has a winding, snake-like or sinuous visual form or shape.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: May 1, 2026, 1:51 a.m.