Triple
T19735481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Jacques Tower |
E473966
|
entity |
| Predicate | demolitionOfAssociatedChurch |
P78149
|
FINISHED |
| Object | French Revolution 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: French Revolution period | Statement: [Saint-Jacques Tower, demolitionOfAssociatedChurch, French Revolution period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolitionOfAssociatedChurch Context triple: [Saint-Jacques Tower, demolitionOfAssociatedChurch, French Revolution period]
-
A.
originalChurchDestroyed
chosen
Indicates that the initially established church building was demolished or ceased to exist, typically due to destruction rather than relocation or replacement.
-
B.
demolishedAsPartOf
Indicates that one entity was demolished as a component or consequence of a larger demolition event or project involving another entity.
-
C.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
D.
hasReconstructedChurch
Indicates that an entity has rebuilt or restored a church, typically after damage, destruction, or disuse.
-
E.
usedAsChurchUntil
Indicates that something served the function or role of a church up to a specified point in time.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515d138c8190a4c4d112ed5756a3 |
completed | April 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.