Triple
T4273643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichinella spiralis |
E96993
|
entity |
| Predicate | muscleCellChange |
P27745
|
FINISHED |
| Object | induces nurse cell formation |
—
|
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: induces nurse cell formation | Statement: [Trichinella spiralis, muscleCellChange, induces nurse cell formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muscleCellChange Context triple: [Trichinella spiralis, muscleCellChange, induces nurse cell formation]
-
A.
musculature
Indicates the relationship between an entity and the structure, development, or characteristics of its muscles.
-
B.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
C.
modifiesMorphologyOf
chosen
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
D.
segmentChange
Indicates a change or transition from one defined segment or phase to another within a sequence or process.
-
E.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffe44508190875d734eb18dfb87 |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.