Triple
T4487700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i.d.e.a. Museum |
E107285
|
entity |
| Predicate | encouragesParentChildEngagement |
P56856
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [i.d.e.a. Museum, encouragesParentChildEngagement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragesParentChildEngagement Context triple: [i.d.e.a. Museum, encouragesParentChildEngagement, true]
-
A.
parentalCare
Indicates that one entity provides nurturing, protection, or support to another in a parent-like role.
-
B.
usedForYoungerChildren
Indicates that something is intended or suitable for use by younger children rather than older children or adults.
-
C.
children
Indicates that one entity is the offspring or direct descendant of another entity.
-
D.
childLeadPlays
Indicates that a child takes the primary or leading role in a play or performance.
-
E.
goodWithChildren
Indicates that an entity interacts with, behaves around, or cares for children in a positive, safe, and appropriate manner.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 12:59 p.m.