Triple
T7662227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economic Window |
E173533
|
entity |
| Predicate | associatedWindow |
P8656
|
FINISHED |
| Object | Social Window |
—
|
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: Social Window | Statement: [Economic Window, associatedWindow, Social Window]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWindow Context triple: [Economic Window, associatedWindow, Social Window]
-
A.
associatedCurrent
Indicates a relationship where a particular current is linked or connected to another entity as its relevant or corresponding current.
-
B.
windowManagement
Indicates the relationship or action of controlling, arranging, or interacting with on-screen windows within a graphical user interface.
-
C.
windowType
chosen
Indicates the specific kind or category of window associated with an entity.
-
D.
associatedSystem
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
-
E.
associatedExplorer
Indicates a relationship where one entity is linked to or connected with an explorer, typically signifying that the explorer is relevant to, involved with, or responsible for that entity in some context.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.