Triple
T10838506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aduard |
E255824
|
entity |
| Predicate | hasNotableStructureRemains |
P33372
|
FINISHED |
| Object | monastery infirmary building |
—
|
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: monastery infirmary building | Statement: [Aduard, hasNotableStructureRemains, monastery infirmary building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableStructureRemains Context triple: [Aduard, hasNotableStructureRemains, monastery infirmary building]
-
A.
housesRemainsOf
chosen
Indicates that one entity serves as the location or container in which the physical remains of another entity are kept or preserved.
-
B.
hasDemolitionOrDestruction
Indicates that one entity causes, undergoes, or is associated with the demolition or destruction of another entity.
-
C.
hasBuriedRemains
Indicates that one entity contains or is the location of the buried remains of another entity.
-
D.
hasNotableArchitecturalFamily
Indicates that an entity is associated with a prominent or historically significant family known for its architectural work or legacy.
-
E.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d747002b3081908726901ee83d8f38 |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.