Triple
T22690632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitrakvi |
E561039
|
entity |
| Predicate | targetsGeneFusion |
P149283
|
FINISHED |
| Object | NTRK2 |
—
|
NE NERFINISHED |
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: NTRK2 | Statement: [Vitrakvi, targetsGeneFusion, NTRK2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTRK2 Context triple: [Vitrakvi, targetsGeneFusion, NTRK2]
-
A.
NTRK1
NTRK1 is a proto-oncogene encoding the TRKA receptor tyrosine kinase, which mediates nerve growth factor signaling and can drive cancer when involved in gene fusions.
-
B.
TRKB
chosen
TRKB is a receptor tyrosine kinase encoded by the NTRK2 gene that plays a key role in neurotrophin signaling and neuronal development.
-
C.
TRK
TRK is the FAA location identifier for Truckee Tahoe Airport, a public airport serving the Truckee and Lake Tahoe region in California.
-
D.
GRIN2B
GRIN2B is a gene that encodes the GluN2B subunit of NMDA-type glutamate receptors, which are crucial for synaptic plasticity, learning, and memory in the brain.
-
E.
GRIN2C
GRIN2C is a human gene that encodes the GluN2C subunit of NMDA-type glutamate receptors, which are critical for synaptic transmission and plasticity in the central nervous system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789a1fd08190bce5fa0babe695d3 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.