Triple
T31142491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Ossory |
E793826
|
entity |
| Predicate | hasImportantMonasticSite |
P113010
|
FINISHED |
| Object | Saigir |
—
|
NE NERFINISHED |
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: Saigir | Statement: [Kingdom of Ossory, hasImportantMonasticSite, Saigir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportantMonasticSite Context triple: [Kingdom of Ossory, hasImportantMonasticSite, Saigir]
-
A.
hasNotableMonasticSite
chosen
Indicates that an entity possesses or is associated with a monastic site (such as a monastery or convent) that is considered historically, culturally, or religiously significant.
-
B.
hasSpiritualSitesIn
Indicates that one entity possesses or contains spiritual or religious sites located within the boundaries of another entity.
-
C.
hasReligiousSite
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
D.
importantMonastery
Indicates that a monastery holds significant religious, historical, or cultural importance relative to others.
-
E.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 29, 2026, 9:06 p.m.