Triple
T20302969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ros Beiaard legend |
E505530
|
entity |
| Predicate | processionFrequency |
P139595
|
FINISHED |
| Object | only a few times each century |
—
|
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: only a few times each century | Statement: [Ros Beiaard legend, processionFrequency, only a few times each century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: processionFrequency Context triple: [Ros Beiaard legend, processionFrequency, only a few times each century]
-
A.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a pilgrimage.
-
B.
carnivalFrequency
Indicates how often a carnival event occurs within a given time period.
-
C.
locationOfProcessions
Indicates the place where processions occur or are held.
-
D.
mainProcessionDay
Indicates the specific day on which the primary or central procession of an event or celebration takes place.
-
E.
memorialEventFrequency
Indicates how often a memorial event occurs or is scheduled to take place.
- F. None of above. chosen
Provenance (4 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773e0864819095d272659cd2074d |
completed | April 20, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 11:17 a.m.