Triple
T4407002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbotsbury |
E93756
|
entity |
| Predicate | abbeyFoundedInCentury |
P1824
|
FINISHED |
| Object | 11th century |
—
|
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: 11th century | Statement: [Abbotsbury, abbeyFoundedInCentury, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbeyFoundedInCentury Context triple: [Abbotsbury, abbeyFoundedInCentury, 11th century]
-
A.
foundedInCentury
chosen
Indicates that an entity was established or came into existence during a specified century.
-
B.
parishEstablished
Indicates that a parish was formally created or founded at a specific time or under specific authority.
-
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.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3548b1ca08190b3136867c7098d86 |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.