Triple
T10475913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camino de Santiago |
E247043
|
entity |
| Predicate | peakPilgrimageMonth |
P32543
|
FINISHED |
| Object | May |
—
|
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: May | Statement: [Camino de Santiago, peakPilgrimageMonth, May]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPilgrimageMonth Context triple: [Camino de Santiago, peakPilgrimageMonth, May]
-
A.
pilgrimageSeason
chosen
Indicates the time period or season during which religious pilgrimages customarily take place.
-
B.
pilgrimageDate
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
C.
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.
-
D.
isPeakVacationMonthIn
Indicates that a given month falls within the period of highest typical vacation activity in a specified location or context.
-
E.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094f6b408190a5a26b1a82e4a02b |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:21 p.m.