Triple
T2457048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lourdes apparitions of 1858 |
E54445
|
entity |
| Predicate | civilAuthorityReaction |
P12442
|
FINISHED |
| Object | initial skepticism and interrogation of Bernadette |
—
|
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: initial skepticism and interrogation of Bernadette | Statement: [Lourdes apparitions of 1858, civilAuthorityReaction, initial skepticism and interrogation of Bernadette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilAuthorityReaction Context triple: [Lourdes apparitions of 1858, civilAuthorityReaction, initial skepticism and interrogation of Bernadette]
-
A.
lawEnforcementResponse
Indicates the actions or measures taken by law enforcement agencies in reaction to an incident, behavior, or situation.
-
B.
governmentAction
chosen
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
C.
emergencyResponse
Indicates a relationship where an entity takes immediate action to address or manage an urgent or critical situation.
-
D.
civilianImpact
Indicates the extent to which an action, event, or situation affects civilians, especially in terms of harm, disruption, or other consequences.
-
E.
civilSignal
Indicates a formal, non-criminal legal communication or notice issued between parties within a civil law context.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.