Triple
T2012346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glasgow Cathedral |
E43714
|
entity |
| Predicate | oneOfFew |
P34479
|
FINISHED |
| Object | mainland Scottish cathedrals surviving Reformation largely intact |
—
|
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: mainland Scottish cathedrals surviving Reformation largely intact | Statement: [Glasgow Cathedral, oneOfFew, mainland Scottish cathedrals surviving Reformation largely intact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFew Context triple: [Glasgow Cathedral, oneOfFew, mainland Scottish cathedrals surviving Reformation largely intact]
-
A.
oneOfCasesIn
Indicates that an entity is one specific member of a defined set or collection of possible cases.
-
B.
singleFrom
Indicates that one entity is derived as a single, distinct item from another source or collection.
-
C.
isLessCommonThan
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
D.
onlyChildOf
Indicates that one person is the sole child of another, with no siblings.
-
E.
thirdSingle
Indicates that an entity is the third single (e.g., third single release) associated with another entity, typically in a sequence such as from an album or artist.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b2ed6c8190ad51f0af90db2a02 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:37 p.m.