Triple
T4483336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmgreen & Dragset |
E100180
|
entity |
| Predicate | Prada MarfaLocation |
P40
|
FINISHED |
| Object | near Marfa, Texas |
—
|
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: near Marfa, Texas | Statement: [Elmgreen & Dragset, Prada MarfaLocation, near Marfa, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Prada MarfaLocation Context triple: [Elmgreen & Dragset, Prada MarfaLocation, near Marfa, Texas]
-
A.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
B.
famousArtworkLocatedIn
Indicates that a specific famous artwork is physically situated or displayed within a particular location or venue.
-
C.
exhibitLocation
Indicates the place or venue where something is displayed, presented, or put on exhibit.
-
D.
previousFlagshipLocation
Indicates the location where an entity’s flagship (e.g., main store, primary office, or leading site) was situated before it moved to its current flagship location.
-
E.
firstUnveiledInCity
Indicates that something was publicly revealed, introduced, or debuted for the first time in a particular city.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:36 p.m.