Triple
T37147367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Soubirous |
E920274
|
entity |
| Predicate | residenceDuringBernadetteApparitions |
P49534
|
FINISHED |
| Object | Lourdes |
—
|
NE NERFINISHED |
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: Lourdes | Statement: [François Soubirous, residenceDuringBernadetteApparitions, Lourdes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceDuringBernadetteApparitions Context triple: [François Soubirous, residenceDuringBernadetteApparitions, Lourdes]
-
A.
miraclePerformedAt
Indicates that a miraculous event was carried out or occurred at a specific location.
-
B.
placeOfBeatification
Indicates the location where a person was formally declared beatified in a religious context.
-
C.
residenceDuringEvent
chosen
Indicates that an entity resides or is located at a particular place for the duration of a specified event.
-
D.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
E.
locatedInHolyTown
Indicates that an entity is situated within a town that is considered holy or religiously significant.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:15 p.m.