Triple
T19992829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NMDA receptor |
E494104
|
entity |
| Predicate | overactivationLeadsTo |
P18658
|
FINISHED |
| Object | excitotoxicity |
—
|
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: excitotoxicity | Statement: [NMDA receptor, overactivationLeadsTo, excitotoxicity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overactivationLeadsTo Context triple: [NMDA receptor, overactivationLeadsTo, excitotoxicity]
-
A.
activationMechanism
Indicates the process or method by which one entity initiates, triggers, or enables the activity or functioning of another entity.
-
B.
canLeadTo
chosen
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
-
C.
activationLevel
Indicates the degree or intensity to which something is currently active, engaged, or functioning within a given context.
-
D.
overexpressionAssociatedWith
Indicates that an unusually high level of expression of one entity (such as a gene or protein) is associated with the presence, severity, or outcome of another entity or condition.
-
E.
activatedFor
Indicates that something has been enabled, triggered, or made operational specifically on behalf of or in the context of a particular entity or target.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.