Triple
T13530103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phaeophyceae |
E323109
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Ascophyllum |
E1040850
|
NE 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: Ascophyllum | Statement: [Phaeophyceae, includes, Ascophyllum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ascophyllum Context triple: [Phaeophyceae, includes, Ascophyllum]
-
A.
Ascophyllum
chosen
Ascophyllum is a genus of brown seaweed best known for the species Ascophyllum nodosum, a common intertidal rockweed used in agriculture, industry, and marine ecosystems.
-
B.
Fucus
Fucus is a genus of brown seaweeds commonly found on rocky seashores in temperate regions, known for their flat, branching fronds and ecological importance in intertidal zones.
-
C.
Macrocystis
Macrocystis is a genus of giant brown kelp known for forming extensive underwater forests in cold, nutrient-rich coastal waters.
-
D.
Palmaria
Palmaria is a scenic Italian island off the Ligurian coast, known for its rugged cliffs, beaches, and views of the nearby town of Portovenere.
-
E.
Pelvetia
Pelvetia is a small genus of brown algae in the order Fucales, commonly found on rocky seashores in the intertidal zone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d95ce008190a915fe5865c38ee5 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.