Triple
T34775856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings and Waves Waterpark |
E1002503
|
entity |
| Predicate | hasStructureOnRoof |
P123870
|
FINISHED |
| Object | Boeing 747-100 |
—
|
NE NERFINISHED |
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: Boeing 747-100 | Statement: [Wings and Waves Waterpark, hasStructureOnRoof, Boeing 747-100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureOnRoof Context triple: [Wings and Waves Waterpark, hasStructureOnRoof, Boeing 747-100]
-
A.
hasRooftopStructure
chosen
Indicates that one entity possesses or features a structural element located on its roof.
-
B.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
C.
hasRoofShape
Indicates that one entity possesses or is characterized by a specific shape or form of roof.
-
D.
hasRooftop
Indicates that one entity possesses or is equipped with a rooftop as a structural feature.
-
E.
hasRoofSymbol
Indicates that an entity is represented or marked by a roof symbol in a diagram, notation, or data model.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 3, 2026, 3:59 p.m.