Triple
T20944098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailes |
E515799
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Hailes Abbey |
—
|
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: Hailes Abbey | Statement: [Hailes, knownFor, Hailes Abbey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hailes Abbey Context triple: [Hailes, knownFor, Hailes Abbey]
-
A.
Hailes Abbey
chosen
Hailes Abbey is a former Cistercian monastery in Gloucestershire, England, renowned in the Middle Ages as a major pilgrimage site and now preserved as a historic ruin.
-
B.
Bec Abbey
Bec Abbey is a historic Benedictine monastery in Normandy, France, renowned as a major medieval center of learning and theology.
-
C.
Sibton Abbey
Sibton Abbey is a former Cistercian monastery in Suffolk, England, known as the county’s only Cistercian house and now a significant medieval archaeological site.
-
D.
Bisham Abbey
Bisham Abbey is a historic manor house and former Augustinian monastery on the River Thames in Berkshire, England, now used as a national sports centre.
-
E.
Selskar Abbey
Selskar Abbey is a historic medieval monastic ruin in Wexford, Ireland, known for its centuries-old church remains and atmospheric stone architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad705e481909da0098d7c73cd02 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 12:52 p.m.