Triple
T26165275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adirondack Forty-Sixers |
E654231
|
entity |
| Predicate | usesTermForMember |
P147117
|
FINISHED |
| Object |
Forty-Sixer
A Forty-Sixer is a member of the hiking community who has climbed all 46 of the traditionally recognized High Peaks in New York’s Adirondack Mountains.
|
E1710918
|
NE FINISHED |
How this triple was built (3 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: Forty-Sixer | Statement: [Adirondack Forty-Sixers, usesTermForMember, Forty-Sixer]
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: Forty-Sixer Triple: [Adirondack Forty-Sixers, usesTermForMember, Forty-Sixer]
Generated description
A Forty-Sixer is a member of the hiking community who has climbed all 46 of the traditionally recognized High Peaks in New York’s Adirondack Mountains.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTermForMember Context triple: [Adirondack Forty-Sixers, usesTermForMember, Forty-Sixer]
-
A.
membersTermIs
Indicates that a member or group of members is associated with, or serves for, a specific term or period of office.
-
B.
usesTermForCommunity
Indicates that one entity refers to or designates a community using a particular term.
-
C.
ownedTermBy
Indicates that a specific term is possessed, controlled, or held in ownership by a particular entity.
-
D.
termUsedForMembers
chosen
Indicates the specific word or label that is used to refer to the members of a particular group or organization.
-
E.
useOfTerm
Indicates that one entity employs or applies a specific term or expression in reference to another entity or context.
- F. None of above.
Provenance (6 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1127774cf8819096c8e465cf993063 |
completed | May 23, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a1154581558819096023bab6c7e4c1e |
completed | May 23, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1155021a8c8190acf7aa793cf0f3c3 |
completed | May 23, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 26, 2026, 8:32 p.m.