Triple
T19990739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phantasialand |
E494055
|
entity |
| Predicate | numberOfThemedAreas |
P40661
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Phantasialand, numberOfThemedAreas, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfThemedAreas Context triple: [Phantasialand, numberOfThemedAreas, 6]
-
A.
numberOfThemedZones
chosen
Indicates the total count of distinct themed zones associated with or contained within an entity.
-
B.
numberOfDesignatedAreas
Indicates the specific count of designated areas associated with or assigned to an entity.
-
C.
numberOfAreaBoards
Indicates the total count of area boards associated with or defined for a given entity or context.
-
D.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
-
E.
numberOfZones
Indicates the quantity of distinct zones associated with or contained by a given entity.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe00b908190bda6b9a3a3281ec0 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.