Triple
T600315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada Basin |
E11477
|
entity |
| Predicate | hasWaterMass |
P9980
|
FINISHED |
| Object | Pacific‑origin water |
—
|
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: Pacific‑origin water | Statement: [Canada Basin, hasWaterMass, Pacific‑origin water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterMass Context triple: [Canada Basin, hasWaterMass, Pacific‑origin water]
-
A.
includesWaterMass
chosen
Indicates that one entity contains, encompasses, or has within its boundaries a body or mass of water.
-
B.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
-
C.
hasHydrosphere
Indicates that an entity possesses or is characterized by a surrounding layer or system of water, such as oceans, seas, lakes, or other bodies of liquid water.
-
D.
waterMassInfluence
Indicates how the presence, amount, or distribution of water mass affects or modifies another entity or system.
-
E.
hasWaterColor
Indicates that an entity possesses or is characterized by a particular color of water.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc4f7d08190990f70b9b3af6ce5 |
completed | March 1, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69a49cf59cd0819084e67981cb371e25 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.