Triple
T617252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cephalochordata |
E14432
|
entity |
| Predicate | substratePreference |
P16678
|
FINISHED |
| Object | sandy bottoms |
—
|
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: sandy bottoms | Statement: [Cephalochordata, substratePreference, sandy bottoms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: substratePreference Context triple: [Cephalochordata, substratePreference, sandy bottoms]
-
A.
substanceType
Indicates the specific kind or category of substance associated with an entity or relation.
-
B.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
-
C.
favored
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
D.
primaryVariant
Indicates that one entity is the main or canonical version among multiple related variants of another entity.
-
E.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e2418c881908552d2c4a5006e97 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfd15288190b4abdbd0bce3edcd |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49d76062c819083ac33f1f87097c7 |
completed | March 1, 2026, 8:11 p.m. |
Created at: March 1, 2026, 7:35 p.m.