Triple
T2082781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmonious |
E45279
|
entity |
| Predicate | centralBargeFeature |
P35701
|
FINISHED |
| Object | large ring with water curtain and projections |
—
|
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 ring with water curtain and projections | Statement: [Harmonious, centralBargeFeature, large ring with water curtain and projections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralBargeFeature Context triple: [Harmonious, centralBargeFeature, large ring with water curtain and projections]
-
A.
berthingSystem
Indicates a system or mechanism used to dock, moor, or secure one vehicle, vessel, or structure to another.
-
B.
harborType
Indicates the specific kind or classification of a harbor associated with an entity.
-
C.
centralLocation
Indicates that one entity serves as the primary or central place associated with another entity.
-
D.
centerType
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an entity.
-
E.
berthingOrDockingTarget
Indicates that an entity serves as the location or structure where a vessel or vehicle is intended to berth or dock.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba5097ac8190a723a8af2982238c |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.