Triple
T35253412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DOMRectReadOnly |
E1018157
|
entity |
| Predicate | propertyType_top |
P183779
|
FINISHED |
| Object | double |
—
|
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: double | Statement: [DOMRectReadOnly, propertyType_top, double]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyType_top Context triple: [DOMRectReadOnly, propertyType_top, double]
-
A.
propertyType_id
Indicates a relationship that specifies the type or category of a property associated with an entity.
-
B.
propertyType_y
Indicates that one entity has a specific type or category of property in relation to another entity.
-
C.
propertyTypeOf
Indicates that one entity is the type or category of property to which another entity belongs.
-
D.
propertyType_rid
Indicates that an entity is associated with a specific property type identified by a unique resource identifier (RID).
-
E.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 3, 2026, 4:02 p.m.