Triple
T6046001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalaloch |
E134667
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hoh Rain Forest |
E83839
|
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: Hoh Rain Forest | Statement: [Kalaloch, near, Hoh Rain Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoh Rain Forest Context triple: [Kalaloch, near, Hoh Rain Forest]
-
A.
Hoh Rain Forest
chosen
Hoh Rain Forest is a lush temperate rainforest in Washington State known for its heavy rainfall, dense moss-draped trees, and rich biodiversity.
-
B.
Queets Rain Forest
Queets Rain Forest is a lush, old-growth temperate rainforest in Washington State’s Olympic National Park, renowned for its massive conifers, dense mosses, and high rainfall.
-
C.
Quinault Rain Forest
Quinault Rain Forest is a lush temperate rainforest in Washington State known for its towering old-growth trees, abundant rainfall, and scenic lakes and trails.
-
D.
Hoh
Hoh is a romanized Chinese surname, commonly representing the family name He in certain transliteration systems.
-
E.
Giant Forest
Giant Forest is a renowned grove of massive giant sequoia trees in California, home to some of the largest trees on Earth, including the General Sherman Tree.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e53f508190864be04bc016c525 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.