Triple
T10913500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siasconset Beach |
E257759
|
entity |
| Predicate | onSideOfIsland |
P44066
|
FINISHED |
| Object | eastern shore of Nantucket Island |
—
|
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: eastern shore of Nantucket Island | Statement: [Siasconset Beach, onSideOfIsland, eastern shore of Nantucket Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onSideOfIsland Context triple: [Siasconset Beach, onSideOfIsland, eastern shore of Nantucket Island]
-
A.
isOnSideOfIsland
chosen
Indicates that one entity is located on a particular side or shore of an island relative to some reference or division.
-
B.
hasIslandOnOneSide
Indicates that one side of an object, area, or boundary is adjacent to or bordered by an island.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
E.
isInIsland
Indicates that one entity is located within the geographic boundaries of an island.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707310b0819092d0140acc3c64ba |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.