Triple
T37908331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondsee |
E945616
|
entity |
| Predicate | historicalMonasteryType |
P37070
|
FINISHED |
| Object | Benedictine monastery (Mondsee Abbey) |
E1132829
|
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: Benedictine monastery (Mondsee Abbey) | Statement: [Mondsee, historicalMonasteryType, Benedictine monastery (Mondsee Abbey)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalMonasteryType Context triple: [Mondsee, historicalMonasteryType, Benedictine monastery (Mondsee Abbey)]
-
A.
monasteryType
chosen
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
-
B.
monasteriesAre
Indicates that a subject is classified as, functions as, or is identified with monasteries.
-
C.
monasteryNearbyArchitectureStyle
Indicates that a monastery is located close to a structure or area characterized by a particular architectural style.
-
D.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
E.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
- F. None of above.
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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01c5c5dbb881909b19ba87a7760ee7 |
completed | May 11, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a412ca0e3948190b1c951ee1298a673 |
completed | June 28, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_6a01c549af98819098e0effd775b7710 |
completed | May 11, 2026, 12:02 p.m. |
Created at: May 3, 2026, 4:20 p.m.