Triple
T4336207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hollywood |
E97468
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Lee |
E27606
|
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: Mount Lee | Statement: [Mount Hollywood, near, Mount Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Lee Context triple: [Mount Hollywood, near, Mount Lee]
-
A.
Mount Lee
chosen
Mount Lee is a hill in the Hollywood Hills of Los Angeles best known as the site overlooking the iconic Hollywood Sign.
-
B.
Mount Hoy
Mount Hoy is a modest natural hill in DuPage County, Illinois, known as the highest point within the Blackwell Forest Preserve and a popular spot for hiking, sledding, and scenic views.
-
C.
Mount Jo
Mount Jo is a small, popular peak in New York’s Adirondack Mountains known for its short hike and expansive views of the High Peaks region.
-
D.
Mount Hunter
Mount Hunter is a prominent, heavily glaciated peak in Alaska known for its steep faces and challenging alpine climbing routes.
-
E.
Mount Eddy
Mount Eddy is a prominent peak in Northern California known for its alpine terrain, diverse geology, and extensive hiking opportunities within the Klamath Mountains region.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db9c1a90819083d0889a65f04af2 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:14 p.m.