Triple
T21398662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longchamp Abbey |
E527853
|
entity |
| Predicate | buildingsDemolishedInCentury |
P143820
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Longchamp Abbey, buildingsDemolishedInCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingsDemolishedInCentury Context triple: [Longchamp Abbey, buildingsDemolishedInCentury, 19th century]
-
A.
originalBuildingDemolishedInCentury
Indicates that the original building was demolished at some point during the specified century.
-
B.
demolishedInDecade
Indicates that something was demolished during a specified decade.
-
C.
partiallyDemolishedInCentury
Indicates that an entity was only partly demolished during a specified century, rather than being completely destroyed.
-
D.
decommissionedInCentury
Indicates that something was formally taken out of service or use during a specified century.
-
E.
mostStructuresDemolished
Indicates that the subject is the entity responsible for demolishing the greatest number of structures within a given context or set.
- F. None of above. chosen
Provenance (4 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62ce3c5c81909e1e584e2f6667c8 |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:14 p.m.