Triple
T7734731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candelaria |
E175350
|
entity |
| Predicate | hasPilgrimageDate |
P70425
|
FINISHED |
| Object | 2 February |
—
|
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: 2 February | Statement: [Candelaria, hasPilgrimageDate, 2 February]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimageDate Context triple: [Candelaria, hasPilgrimageDate, 2 February]
-
A.
hasPilgrimageActivity
Indicates that an entity engages in, organizes, or is associated with a religious pilgrimage activity.
-
B.
pilgrimageDate
chosen
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
C.
hasPilgrimageType
Indicates that an entity is associated with a specific type or category of pilgrimage.
-
D.
hasPilgrimageFunctionSince
Indicates that an entity has served a pilgrimage-related role or function continuously since a specified point in time.
-
E.
hasPilgrimagePeak
Indicates that a place or route is associated with a specific peak that serves as a destination or focal point for religious or spiritual pilgrimage.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.