Triple
T4307533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Chagall Museum |
E93990
|
entity |
| Predicate | locatedInTheResidence |
P40
|
FINISHED |
| Object | hometown of Marc Chagall |
—
|
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: hometown of Marc Chagall | Statement: [Marc Chagall Museum, locatedInTheResidence, hometown of Marc Chagall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTheResidence Context triple: [Marc Chagall Museum, locatedInTheResidence, hometown of Marc Chagall]
-
A.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
B.
houseLocatedIn
Indicates that a house is situated within or belongs to a specific geographic location or area.
-
C.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
D.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
E.
residenceDuringEvent
Indicates that an entity resides or is located at a particular place for the duration of a specified event.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d2af088190ad7cb035d6e0f8c2 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:11 p.m.