Triple
T6483769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuamotu Archipelago |
E146457
|
entity |
| Predicate | seaFeature |
P1778
|
FINISHED |
| Object | lagoons |
—
|
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: lagoons | Statement: [Tuamotu Archipelago, seaFeature, lagoons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaFeature Context triple: [Tuamotu Archipelago, seaFeature, lagoons]
-
A.
oceanographicFeature
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
B.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
C.
bodyOfWater
chosen
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
D.
coastlineFeature
Indicates that a geographic entity is a specific type of feature located along or forming part of a coastline.
-
E.
marineArea
Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:52 p.m.