Triple
T9379913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Floating Heads installation |
E225754
|
entity |
| Predicate | hasViewingAngles |
P88621
|
FINISHED |
| Object | multiple levels of the museum |
—
|
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: multiple levels of the museum | Statement: [The Floating Heads installation, hasViewingAngles, multiple levels of the museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewingAngles Context triple: [The Floating Heads installation, hasViewingAngles, multiple levels of the museum]
-
A.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
B.
hasViewingSide
Indicates that one entity serves as the side or surface of another entity that is intended to be viewed or observed.
-
C.
hasPanoramicView
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
-
D.
supportsAngleModes
Indicates that one entity provides functionality for handling or operating in multiple angle measurement modes (such as degrees, radians, or gradians) for another entity or context.
-
E.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50bc94108190a1b8146a78166009 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:44 p.m.