Triple
T37989857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Währing Jewish Cemetery |
E947794
|
entity |
| Predicate | hasTypeOfBurialMonuments |
P133766
|
FINISHED |
| Object | tombstones |
—
|
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: tombstones | Statement: [Währing Jewish Cemetery, hasTypeOfBurialMonuments, tombstones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfBurialMonuments Context triple: [Währing Jewish Cemetery, hasTypeOfBurialMonuments, tombstones]
-
A.
hasBurialMonumentType
chosen
Indicates that an entity is associated with a burial whose monument is of a specified type.
-
B.
hasTypeOfBurial
Indicates the specific kind or method of burial associated with an entity.
-
C.
hasTypeOfGrave
Indicates that an entity is associated with a specific kind or category of grave.
-
D.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
E.
hasTypeOfPersonBuried
Indicates that a particular burial site or grave contains the remains of a person of a specified type or category.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:20 p.m.