Triple
T36315169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellifont Abbey |
E894169
|
entity |
| Predicate | firstOfTypeInCountry |
—
|
GENERATED |
| Object | first Cistercian monastery in Ireland |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfTypeInCountry Context triple: [Mellifont Abbey, firstOfTypeInCountry, first Cistercian monastery in Ireland]
-
A.
firstForCountry
chosen
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
B.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
-
C.
firstMatchCountry
Indicates that the referenced country is the first one that matches a given set of criteria or conditions among a group of countries.
-
D.
firstOfType
Indicates that the subject is the earliest or initial instance of its kind within a specified group, category, or sequence.
-
E.
usedInCountryType
Indicates that something is utilized or applied within a specific type or category of country (e.g., developing, industrialized, etc.).
- F. None of above.
Provenance (1 batch)
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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.