Triple
T19275983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint John's Abbey |
E482054
|
entity |
| Predicate | isMonasteryFor |
P19602
|
FINISHED |
| Object | monks |
—
|
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: monks | Statement: [Saint John's Abbey, isMonasteryFor, monks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMonasteryFor Context triple: [Saint John's Abbey, isMonasteryFor, monks]
-
A.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
B.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
C.
hasMonasteryDedicatedTo
Indicates that a place or institution possesses a monastery whose religious dedication is to a specific figure, deity, or sacred concept.
-
D.
monasteryType
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
-
E.
monastery
chosen
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 (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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbbdf3481909abb46c71f64106a |
completed | April 20, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:29 p.m.