Triple
T10865784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farne Islands |
E256524
|
entity |
| Predicate | hasMonasticHistory |
P96138
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Farne Islands, hasMonasticHistory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonasticHistory Context triple: [Farne Islands, hasMonasticHistory, true]
-
A.
hasMonasticName
Indicates that an entity possesses a specific name adopted or assigned within a monastic or religious order.
-
B.
hasMonasticCommunities
Indicates that an entity possesses, hosts, or is associated with one or more monastic communities.
-
C.
monasteryEstablished
Indicates that a monastery was founded or formally established at a particular time, place, or by a specific agent.
-
D.
historicalEraOfMonastery
Indicates the historical era or period during which the monastery was founded, active, or most prominently associated.
-
E.
monasticTradition
Indicates that an entity follows, belongs to, or is characterized by a particular monastic rule, lineage, or way of religious life.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516cebe881909ed358a7641f6a12 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:20 p.m.