Triple
T16392700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gastrotricha |
E398092
|
entity |
| Predicate | posteriorFeature |
P52407
|
FINISHED |
| Object | adhesive tubes or glands |
—
|
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: adhesive tubes or glands | Statement: [Gastrotricha, posteriorFeature, adhesive tubes or glands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posteriorFeature Context triple: [Gastrotricha, posteriorFeature, adhesive tubes or glands]
-
A.
targetFeature
Indicates that one entity is the specific feature, attribute, or characteristic that another entity is directed toward, focused on, or intended to affect.
-
B.
compositionalFeature
chosen
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
C.
featuresPostMatchSegmentWith
Indicates that one entity includes or is associated with a post-match segment involving another entity.
-
D.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
E.
reconstructionFeature
Indicates that one entity serves as a feature, component, or characteristic used in the reconstruction or restoration of another entity.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326447a7481909feac905edc707ec |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.