Triple
T8782805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moerenuma Park |
E208772
|
entity |
| Predicate | SeaFountainFeature |
P64067
|
FINISHED |
| Object | large-scale water display |
—
|
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: large-scale water display | Statement: [Moerenuma Park, SeaFountainFeature, large-scale water display]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SeaFountainFeature Context triple: [Moerenuma Park, SeaFountainFeature, large-scale water display]
-
A.
waterFeature
Indicates the presence of a natural or artificial body or flow of water associated with the subject.
-
B.
hasFountain
Indicates that one entity contains, features, or is equipped with a fountain.
-
C.
hasWaterFeatures
chosen
Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
-
D.
oceanographicFeature
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
E.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7155b081908891e84b704f0ebf |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.