Triple
T3101509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taconic Mountains |
E64729
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mount Berlin
Mount Berlin is a peak in the Taconic Mountains of the northeastern United States, known for its forested slopes and regional hiking opportunities.
|
E326684
|
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: Mount Berlin | Statement: [Taconic Mountains, contains, Mount Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Berlin Context triple: [Taconic Mountains, contains, Mount Berlin]
-
A.
Mount Eisen
Mount Eisen is a peak in California’s Sierra Nevada range, situated along the rugged Great Western Divide within Sequoia National Park.
-
B.
Mount Tur
Mount Tur is a sacred mountain in the Islamic tradition, associated with the Prophet Moses and the revelation of divine commandments.
-
C.
Mount Nivea
Mount Nivea is a prominent mountain peak that forms the highest point in the remote South Orkney Islands of the Southern Ocean.
-
D.
Mount Carlo
Mount Carlo is a lesser-known peak in the rugged Mahoosuc Range of the northern Appalachian Mountains in New England.
-
E.
Mount Tyndall
Mount Tyndall is a prominent peak in California’s Sierra Nevada, popular with experienced hikers and climbers for its rugged terrain and alpine scenery.
- 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: Mount Berlin Triple: [Taconic Mountains, contains, Mount Berlin]
Generated description
Mount Berlin is a peak in the Taconic Mountains of the northeastern United States, known for its forested slopes and regional hiking opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Berlin Target entity description: Mount Berlin is a peak in the Taconic Mountains of the northeastern United States, known for its forested slopes and regional hiking opportunities.
-
A.
Mount Eisen
Mount Eisen is a peak in California’s Sierra Nevada range, situated along the rugged Great Western Divide within Sequoia National Park.
-
B.
Mount Tur
Mount Tur is a sacred mountain in the Islamic tradition, associated with the Prophet Moses and the revelation of divine commandments.
-
C.
Mount Nivea
Mount Nivea is a prominent mountain peak that forms the highest point in the remote South Orkney Islands of the Southern Ocean.
-
D.
Mount Carlo
Mount Carlo is a lesser-known peak in the rugged Mahoosuc Range of the northern Appalachian Mountains in New England.
-
E.
Mount Tyndall
Mount Tyndall is a prominent peak in California’s Sierra Nevada, popular with experienced hikers and climbers for its rugged terrain and alpine scenery.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203809fac81908047b1139b13cb04 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20532b7388190be5f7bcf48db6f45 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2058d7c4c8190a44fc8745df3b1b3 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:03 p.m.