Triple
T970992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graafs Museum |
E20943
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Grave |
E3040
|
NE 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: Grave | Statement: [Graafs Museum, locatedInMunicipality, Grave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grave Context triple: [Graafs Museum, locatedInMunicipality, Grave]
-
A.
Grave
chosen
Grave is a Dutch town in the province of North Brabant, historically notable for its strategic river crossing and well-preserved medieval fortifications.
-
B.
Craven
Craven is a largely rural district in North Yorkshire, England, known for its picturesque landscapes that include much of the Yorkshire Dales.
-
C.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
D.
Last Rites
Last Rites is a traditional set of Catholic sacramental practices given to a gravely ill or dying person to prepare their soul for death.
-
E.
Agony
Agony is a modernist painting by Armenian-American artist Arshile Gorky, reflecting his distinctive blend of abstraction and surrealism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44aa6088190a90c44a8f694ec41 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac537ba7c08190966fa4a29da90310 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.