Triple
T26175597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behçet's disease |
E654529
|
entity |
| Predicate | canCauseComplication |
P18423
|
FINISHED |
| Object | intestinal perforation |
—
|
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: intestinal perforation | Statement: [Behçet's disease, canCauseComplication, intestinal perforation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canCauseComplication Context triple: [Behçet's disease, canCauseComplication, intestinal perforation]
-
A.
causesSocialComplicationsFor
Indicates that one entity’s behavior, condition, or presence leads to difficulties, conflicts, or awkward situations in another entity’s social interactions or relationships.
-
B.
complicationType
Indicates the specific kind or category of complication associated with an event, condition, or process.
-
C.
complication
chosen
Indicates that one event, action, or condition makes another more difficult, problematic, or introduces an additional obstacle or entanglement in the situation.
-
D.
possibleCauseOf
Indicates that one entity is a potential, but not certain, cause or contributing factor to another entity or outcome.
-
E.
mayBeComorbidWith
Indicates that two conditions or disorders can occur together in the same individual, potentially influencing each other’s presence or severity.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 8:37 p.m.