Triple
T9807164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xeloda |
E238181
|
entity |
| Predicate | isActivatedPreferentiallyIn |
P90096
|
FINISHED |
| Object | tumor tissue |
—
|
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: tumor tissue | Statement: [Xeloda, isActivatedPreferentiallyIn, tumor tissue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isActivatedPreferentiallyIn Context triple: [Xeloda, isActivatedPreferentiallyIn, tumor tissue]
-
A.
isPreferredWhen
Indicates that one option, condition, or entity is chosen or favored over others in a particular context or situation.
-
B.
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.
-
C.
canBeActivatedFor
Indicates that one entity is capable of being put into an active or operational state by or for another entity.
-
D.
isPotentiallyActive
Indicates that an entity has the capacity or conditions to become active, but is not necessarily active at the present moment.
-
E.
isSelective
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7cb9588190953a063cb7b9e29e |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.