Triple
T23686546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princessehof National Museum of Ceramics |
E585182
|
entity |
| Predicate | formerResidentOfBuilding |
P4907
|
FINISHED |
| Object | Maria Louise of Hesse-Kassel |
—
|
NE NERFINISHED |
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: Maria Louise of Hesse-Kassel | Statement: [Princessehof National Museum of Ceramics, formerResidentOfBuilding, Maria Louise of Hesse-Kassel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerResidentOfBuilding Context triple: [Princessehof National Museum of Ceramics, formerResidentOfBuilding, Maria Louise of Hesse-Kassel]
-
A.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
B.
formerResidenceOf
chosen
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
C.
hasNearbyFormerResidenceOf
Indicates that one entity is located near a place that used to be the residence of another entity.
-
D.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
E.
usedAtResidence
Indicates that an object, resource, or service is utilized within or for the purposes of a particular residence.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5bf1c10819085d48c4225cc63fc |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.