Triple
T36281556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schindleriidae |
E892954
|
entity |
| Predicate | sizeRelativeToFishes |
P185093
|
FINISHED |
| Object | among the smallest vertebrates |
—
|
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: among the smallest vertebrates | Statement: [Schindleriidae, sizeRelativeToFishes, among the smallest vertebrates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeRelativeToFishes Context triple: [Schindleriidae, sizeRelativeToFishes, among the smallest vertebrates]
-
A.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
-
B.
typicalFishType
Indicates that one entity is the fish type that is most commonly or characteristically associated with the other entity.
-
C.
gillColor
Indicates the color attribute associated with an entity’s gills.
-
D.
timeInFish
Indicates that a specified amount of time is spent inside or associated with a fish, such as time an entity remains within a fish’s body or environment.
-
E.
nativeFish
Indicates that the fish species is originally from, and naturally occurs in, the specified geographic area or ecosystem.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.