Triple
T9762205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunnyside Daycare |
E236695
|
entity |
| Predicate | toySystem |
P90889
|
FINISHED |
| Object | new toys assigned to Caterpillar Room |
—
|
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: new toys assigned to Caterpillar Room | Statement: [Sunnyside Daycare, toySystem, new toys assigned to Caterpillar Room]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toySystem Context triple: [Sunnyside Daycare, toySystem, new toys assigned to Caterpillar Room]
-
A.
playsInSystem
Indicates that an entity participates or operates within a particular system or framework.
-
B.
rackSystem
Indicates a relationship where an entity functions as or belongs to a particular rack-based storage or mounting system.
-
C.
childSystem
Indicates that one system is hierarchically subordinate to and contained within another system as its child.
-
D.
toyLine
Indicates that one entity is part of, or associated with, a particular toy product line or series.
-
E.
trackSystem
Indicates a relationship where one entity monitors, records, or follows the status, behavior, or changes of another entity within a system.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:25 p.m.