Triple
T33435451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resize Observer API |
E856228
|
entity |
| Predicate | mainClassMethod |
P191375
|
FINISHED |
| Object | observe |
—
|
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: observe | Statement: [Resize Observer API, mainClassMethod, observe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainClassMethod Context triple: [Resize Observer API, mainClassMethod, observe]
-
A.
mainClasses
Indicates that the subject represents the primary or most important classes associated with, defined within, or central to the object.
-
B.
mainStartingPoint
Indicates the primary location or position from which an event, process, or path begins.
-
C.
programEntryMethod
Indicates that a method serves as the starting point or main entry method for executing a program or component.
-
D.
mainFunctionAtCreation
Indicates the primary function or role an entity was originally designed or intended to perform at the time of its creation.
-
E.
mainEntranceOn
Indicates that the primary entrance of one entity is located on or faces toward another entity, such as a particular side, street, or boundary.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 1, 2026, 1:36 a.m.