Triple
T21081103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Non’s Chapel and Well |
E519369
|
entity |
| Predicate | eraOfOriginalChapel |
P142760
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [St Non’s Chapel and Well, eraOfOriginalChapel, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfOriginalChapel Context triple: [St Non’s Chapel and Well, eraOfOriginalChapel, medieval period]
-
A.
housedInChapel
Indicates that something is located, kept, or contained within a chapel.
-
B.
firstChapelBuilt
Indicates that the subject is the location or entity where the first chapel was constructed or established.
-
C.
formerCathedral
Indicates that a building once held the status and function of a cathedral but no longer does.
-
D.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
-
E.
originalCathedralClosed
Indicates that the original cathedral has ceased operating or is no longer open to the public or for services.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702db430c81908a1547d8fbe45506 |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:49 p.m.