Triple
T26685688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hovedøya Abbey |
E672736
|
entity |
| Predicate | inceptionAsCistercianHouse |
P22380
|
FINISHED |
| Object | 1147 |
—
|
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: 1147 | Statement: [Hovedøya Abbey, inceptionAsCistercianHouse, 1147]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionAsCistercianHouse Context triple: [Hovedøya Abbey, inceptionAsCistercianHouse, 1147]
-
A.
inceptionAsMonastery
chosen
Indicates that the entity originated or was first established as a monastery.
-
B.
formerCistercianAbbey
Indicates that something was once a Cistercian abbey but no longer holds that status.
-
C.
monasticResidence
Indicates that one entity serves as the place of residence for a monastic individual or community.
-
D.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
E.
monasteryBuiltInto
Indicates that a monastery is physically constructed within, attached to, or integrated into a natural or man-made structure such as a cliff, cave, or building.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6173e191481909d1f6691a6fa8396 |
completed | May 2, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:22 a.m.