Triple
T35748134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octo |
E1033241
|
entity |
| Predicate | complicationAvailable |
P183616
|
FINISHED |
| Object | chronograph (in some models) |
—
|
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: chronograph (in some models) | Statement: [Octo, complicationAvailable, chronograph (in some models)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: complicationAvailable Context triple: [Octo, complicationAvailable, chronograph (in some models)]
-
A.
hasComplication
Indicates that an entity is associated with a problem, difficulty, or adverse outcome arising as a consequence of another condition, action, or process.
-
B.
complicationType
Indicates the specific kind or category of complication associated with an event, condition, or process.
-
C.
complicationFrequency
Indicates how often complications occur in relation to a given procedure, condition, or intervention.
-
D.
complication
Indicates that one event, action, or condition makes another more difficult, problematic, or introduces an additional obstacle or entanglement in the situation.
-
E.
motionCoprocessor
Indicates that one entity functions as a motion coprocessor, assisting another entity in handling motion-related computations or processing tasks.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1f64f1081908cc2774840684310 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.