Triple
T2661993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendall/MIT station |
E54744
|
entity |
| Predicate | hasPublicArtType |
P25695
|
FINISHED |
| Object | kinetic sculpture |
—
|
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: kinetic sculpture | Statement: [Kendall/MIT station, hasPublicArtType, kinetic sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicArtType Context triple: [Kendall/MIT station, hasPublicArtType, kinetic sculpture]
-
A.
hasPublicArtwork
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
B.
hasSculptureType
chosen
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
C.
hasNearbyPublicArt
Indicates that one entity is located close to another entity that is classified as public art.
-
D.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
-
E.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd969eff08190a206ad6424ba34d6 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.