Triple
T7283044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adirondack Forty-Six High Peaks |
E163796
|
entity |
| Predicate | hasNotablePeak |
P10602
|
FINISHED |
| Object |
Nippletop
Nippletop is a prominent Adirondack High Peak in New York’s High Peaks Wilderness, known for its steep ascent and expansive summit views.
|
E654225
|
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: Nippletop | Statement: [Adirondack Forty-Six High Peaks, hasNotablePeak, Nippletop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nippletop Context triple: [Adirondack Forty-Six High Peaks, hasNotablePeak, Nippletop]
-
A.
Milk Cup
The Milk Cup was the sponsored name for the English Football League Cup during the 1980s, reflecting its title sponsorship by the Milk Marketing Board.
-
B.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
C.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
-
D.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
E.
Topshe
Topshe is the young cousin and loyal assistant of detective Feluda in Satyajit Ray’s popular Bengali mystery stories.
- 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: Nippletop Triple: [Adirondack Forty-Six High Peaks, hasNotablePeak, Nippletop]
Generated description
Nippletop is a prominent Adirondack High Peak in New York’s High Peaks Wilderness, known for its steep ascent and expansive summit views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nippletop Target entity description: Nippletop is a prominent Adirondack High Peak in New York’s High Peaks Wilderness, known for its steep ascent and expansive summit views.
-
A.
Milk Cup
The Milk Cup was the sponsored name for the English Football League Cup during the 1980s, reflecting its title sponsorship by the Milk Marketing Board.
-
B.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
C.
Biskinik
Biskinik is the official newspaper of the Choctaw Nation, providing news, cultural information, and community updates for Choctaw citizens.
-
D.
Trottiera
Trottiera is one of the traditional bells housed in St Mark's Campanile in Venice, historically used to signal specific civic or religious events.
-
E.
Topshe
Topshe is the young cousin and loyal assistant of detective Feluda in Satyajit Ray’s popular Bengali mystery stories.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4ec2088190a6713eaa221d49a6 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3ae6a08190820c7096cbfea521 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dbe3e2ac8190a112ff01244f6a81 |
completed | March 28, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dfc15d2c8190afcf8572ff3dbb6d |
completed | March 28, 2026, 2:03 p.m. |
Created at: March 27, 2026, 2:59 p.m.