Triple
T19125011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milestones Museum |
E468153
|
entity |
| Predicate | hasInteractiveElements |
P27769
|
FINISHED |
| Object | costumed interpreters |
—
|
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: costumed interpreters | Statement: [Milestones Museum, hasInteractiveElements, costumed interpreters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteractiveElements Context triple: [Milestones Museum, hasInteractiveElements, costumed interpreters]
-
A.
hasInteractiveActivity
chosen
Indicates that an entity includes or is associated with an activity that requires active user participation or engagement.
-
B.
supportsInteractiveWidgets
Indicates that an entity is capable of handling or enabling interactive widgets within its context or environment.
-
C.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
D.
supportsInteractiveMenus
Indicates that an entity provides or is compatible with interactive, menu-based user interfaces or options.
-
E.
hasImmersionElement
Indicates that something includes or is associated with an element that creates a sense of immersion or deep involvement in an experience.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cb9d6c81908a8706c1f33a6378 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.