Triple
T3163802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town, Maine |
E66161
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Marsh Island |
E526413
|
NE 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: Marsh Island | Statement: [Old Town, Maine, contains, Marsh Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marsh Island Context triple: [Old Town, Maine, contains, Marsh Island]
-
A.
Marsh Island
Marsh Island is a small, marshy island in Seattle’s Lake Washington, known for its wetlands and bird habitat along the Arboretum Waterfront Trail.
-
B.
Marsh Island
chosen
Marsh Island is a river island in the Penobscot River in Maine that hosts the town of Orono and the main campus of the University of Maine.
-
C.
Middle Island
Middle Island is one of the small, remote islands in the Tristan da Cunha archipelago in the South Atlantic Ocean.
-
D.
Middle Island
Middle Island is a small Canadian island in Lake Erie known as the southernmost point of land in Canada.
-
E.
Middle Island
Middle Island is a small island located within Sitka Sound off the coast of Sitka, Alaska, known for its forested landscape and marine wildlife.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61ba98881909106951c8ceeb959 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc0140a548190a9fb54c267622fb1 |
completed | March 22, 2026, 10:10 a.m. |
Created at: March 8, 2026, 3:06 p.m.