Triple
T13596053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitra |
E324821
|
entity |
| Predicate | hasMonasteryRuins |
P110225
|
FINISHED |
| Object | Zobor Monastery ruins |
—
|
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: Zobor Monastery ruins | Statement: [Nitra, hasMonasteryRuins, Zobor Monastery ruins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonasteryRuins Context triple: [Nitra, hasMonasteryRuins, Zobor Monastery ruins]
-
A.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
B.
hasMonasteryDedicatedTo
Indicates that a place or institution possesses a monastery whose religious dedication is to a specific figure, deity, or sacred concept.
-
C.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
D.
hasAltar
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
E.
hasCastleRemains
Indicates that one entity possesses or contains the remaining structures or ruins of a castle associated with it.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0590558819080ccc5874a650b1e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.