Triple
T3922163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Peaks |
E88985
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Noe Peak
Noe Peak is one of the two summits that form the iconic Twin Peaks hills overlooking San Francisco, California.
|
E473583
|
NE FINISHED |
How this triple was built (4 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: Noe Peak | Statement: [Twin Peaks, hasPart, Noe Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noe Peak Context triple: [Twin Peaks, hasPart, Noe Peak]
-
A.
Notch Peak
Notch Peak is a dramatic limestone mountain in western Utah known for its sheer cliffs and prominence in the House Range.
-
B.
Hines Peak
Hines Peak is a prominent mountain summit in Southern California known for being one of the highest points in the Topatopa Mountains of Ventura County.
-
C.
Keynot Peak
Keynot Peak is a prominent mountain summit in eastern California known for being the loftiest point in the remote and rugged Inyo Mountains range.
-
D.
Mount Baldy
Mount Baldy is the highest peak in Southern California’s San Gabriel Mountains, popular for hiking, skiing, and panoramic views over the Los Angeles area.
-
E.
Telescope Peak
Telescope Peak is the tallest mountain in Death Valley National Park, offering expansive views over both the lowest and some of the highest points in the contiguous United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Noe Peak Triple: [Twin Peaks, hasPart, Noe Peak]
Generated description
Noe Peak is one of the two summits that form the iconic Twin Peaks hills overlooking San Francisco, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noe Peak Target entity description: Noe Peak is one of the two summits that form the iconic Twin Peaks hills overlooking San Francisco, California.
-
A.
Notch Peak
Notch Peak is a dramatic limestone mountain in western Utah known for its sheer cliffs and prominence in the House Range.
-
B.
Hines Peak
Hines Peak is a prominent mountain summit in Southern California known for being one of the highest points in the Topatopa Mountains of Ventura County.
-
C.
Keynot Peak
Keynot Peak is a prominent mountain summit in eastern California known for being the loftiest point in the remote and rugged Inyo Mountains range.
-
D.
Mount Baldy
Mount Baldy is the highest peak in Southern California’s San Gabriel Mountains, popular for hiking, skiing, and panoramic views over the Los Angeles area.
-
E.
Telescope Peak
Telescope Peak is the tallest mountain in Death Valley National Park, offering expansive views over both the lowest and some of the highest points in the contiguous United States.
- F. None of above. chosen
Provenance (5 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed7a553c81909b65f8287293ecac |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c69987881908dc2b6286fec73c2 |
completed | March 21, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69be5d1049fc8190a8c33cf931d5fc77 |
completed | March 21, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5e09bba88190a4e403ed651662e7 |
completed | March 21, 2026, 8:59 a.m. |
Created at: March 9, 2026, 3:22 p.m.