Triple
T36641169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of the Virgin Mary |
E904589
|
entity |
| Predicate | dateOfRediscovery |
P37009
|
FINISHED |
| Object | 19th 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: 19th century | Statement: [House of the Virgin Mary, dateOfRediscovery, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfRediscovery Context triple: [House of the Virgin Mary, dateOfRediscovery, 19th century]
-
A.
rediscoveredAt
Indicates that an entity was found or identified again at a particular time or place after having been lost, forgotten, or unknown.
-
B.
rediscoveredIn
chosen
Indicates that something previously known but lost or forgotten was found or identified again at a particular time or place.
-
C.
discoveryDate
Indicates the date on which something was first discovered or identified.
-
D.
wasDiscoveredAt
Indicates that an entity was found, identified, or uncovered at a specific place or during a particular event or context.
-
E.
rediscoveryYear
Indicates the year in which something that was previously known but lost, forgotten, or overlooked was found or recognized again.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:11 p.m.