Triple
T5661879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Le Conte |
E124760
|
entity |
| Predicate | hasSubpeak |
P7612
|
FINISHED |
| Object |
Cliff Tops
Cliff Tops is a prominent rocky outcrop and popular scenic viewpoint near the summit of Mount Le Conte in the Great Smoky Mountains.
|
E537959
|
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: Cliff Tops | Statement: [Mount Le Conte, hasSubpeak, Cliff Tops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cliff Tops Context triple: [Mount Le Conte, hasSubpeak, Cliff Tops]
-
A.
The Cliff
The Cliff is a historic football training ground best known as the former training base of Manchester United in Salford, England.
-
B.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
C.
Hillside
Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
-
D.
Hillside
Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
-
E.
Headlands
Headlands is a small town in eastern Zimbabwe known primarily as a farming and mining community along a major regional transport route.
- 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: Cliff Tops Triple: [Mount Le Conte, hasSubpeak, Cliff Tops]
Generated description
Cliff Tops is a prominent rocky outcrop and popular scenic viewpoint near the summit of Mount Le Conte in the Great Smoky Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cliff Tops Target entity description: Cliff Tops is a prominent rocky outcrop and popular scenic viewpoint near the summit of Mount Le Conte in the Great Smoky Mountains.
-
A.
The Cliff
The Cliff is a historic football training ground best known as the former training base of Manchester United in Salford, England.
-
B.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
C.
Hillside
Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
-
D.
Hillside
Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
-
E.
Headlands
Headlands is a small town in eastern Zimbabwe known primarily as a farming and mining community along a major regional transport route.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02321ce6c819080371e0cfbb4bc4f |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04da6fa808190a3c500ee664bb150 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edf30448190a60eda49b8b031a0 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb62690819083327781cb857ccc |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:42 p.m.