Triple
T7283021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adirondack Forty-Six High Peaks |
E163796
|
entity |
| Predicate | hasOriginalSurveyBasis |
P7051
|
FINISHED |
| Object | USGS surveys |
—
|
LITERAL FINISHED |
How this triple was built (2 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: USGS surveys | Statement: [Adirondack Forty-Six High Peaks, hasOriginalSurveyBasis, USGS surveys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalSurveyBasis Context triple: [Adirondack Forty-Six High Peaks, hasOriginalSurveyBasis, USGS surveys]
-
A.
surveyedFor
Indicates that one entity has been examined, questioned, or assessed in order to gather information specifically about another entity or topic.
-
B.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
C.
coSurveyedWith
Indicates that two or more entities participated together in the same survey activity or data-collection effort.
-
D.
usedAsBasisFor
chosen
Indicates that one entity serves as the foundation, reference, or starting point upon which another entity is developed, derived, justified, or constructed.
-
E.
surveyedIn
Indicates that an entity was included as part of the scope or coverage of a particular survey or data-collection effort.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.