Triple
T25072252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuidlaren |
E627946
|
entity |
| Predicate | ZuidlaardermarktMonth |
P158174
|
FINISHED |
| Object | October |
—
|
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: October | Statement: [Zuidlaren, ZuidlaardermarktMonth, October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ZuidlaardermarktMonth Context triple: [Zuidlaren, ZuidlaardermarktMonth, October]
-
A.
ZuidlaardermarktType
Indicates a classification relationship specifying the type or category of a Zuidlaardermarkt event.
-
B.
ZuidlaardermarktFrequency
Indicates how often the Zuidlaardermarkt event takes place within a given time period.
-
C.
Sneekweek
Indicates participation in or association with the Dutch student sailing and water sports event known as Sneekweek.
-
D.
WurstmarktType
Indicates that an entity is classified as a specific type or category within the Wurstmarkt event or festival.
-
E.
WurstmarktKnownAs
Indicates that an entity is known or referred to by the name "Wurstmarkt" (or an alternative name of the Wurstmarkt event).
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6:17 a.m.