Triple
T23822654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilkes Land |
E589276
|
entity |
| Predicate | hasOceanFront |
P2040
|
FINISHED |
| Object | Southern Ocean |
—
|
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: Southern Ocean | Statement: [Wilkes Land, hasOceanFront, Southern Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOceanFront Context triple: [Wilkes Land, hasOceanFront, Southern Ocean]
-
A.
oceanView
Indicates that one entity has a clear, visible view of the ocean from its location or position.
-
B.
hasOcean
chosen
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
C.
hasBeachCharacteristic
Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
-
D.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
E.
hasWaterfrontType
Indicates that an entity is associated with a specific type or category of waterfront (e.g., oceanfront, lakefront, riverfront).
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7afff6c819096a0af7e008ea8d4 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:59 p.m.