Triple
T6926369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamlico Sound |
E160320
|
entity |
| Predicate | largestLagoonOn |
P73704
|
FINISHED |
| Object | U.S. East Coast |
—
|
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: U.S. East Coast | Statement: [Pamlico Sound, largestLagoonOn, U.S. East Coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestLagoonOn Context triple: [Pamlico Sound, largestLagoonOn, U.S. East Coast]
-
A.
largestLakeEntirelyIn
Indicates that one entity is the largest lake located entirely within the boundaries of another entity (such as a country, region, or territory).
-
B.
maximumLake
Indicates that the subject entity is the lake with the greatest value (such as size, volume, or another specified measure) among a given set of lakes.
-
C.
isLargestFreshwaterLakeIn
Indicates that a lake is the largest freshwater lake within the specified geographic region or area.
-
D.
isSecondLargestLakeIn
Indicates that a lake is the second largest lake within a specified geographic region or area.
-
E.
isOneOfLargestLakesByArea
Indicates that the subject lake ranks among the largest lakes in terms of surface area.
- F. None of above. chosen
Provenance (4 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1aa9c48190b63a04be2ed9e266 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.