Triple
T15544639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almirante Brown Nunatak |
E370571
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Brown Base |
E75316
|
NE 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: Brown Base | Statement: [Almirante Brown Nunatak, locatedNear, Brown Base]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown Base Context triple: [Almirante Brown Nunatak, locatedNear, Brown Base]
-
A.
Brown Base
chosen
Brown Base is an Argentine research station in Antarctica that operates seasonally to support scientific studies in the region.
-
B.
Brown
Brown is a common English-language surname of Anglo-Saxon origin, typically derived from a nickname referring to hair color, complexion, or clothing.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
Base Brown
Base Brown is a fell in England's Lake District, popular with hikers for its views over Borrowdale and the surrounding Central Fells.
-
E.
Air Force Blue
Air Force Blue is a champion Thoroughbred racehorse known for his top-level performances in Europe and subsequent career as a stallion at major breeding operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0443410408190a249889edcd9c599 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455a38188190a593c70be09d6103 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:07 a.m.