Triple
T5620793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seabrook station |
E147595
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Seabrook |
E420746
|
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: Seabrook | Statement: [Seabrook station, city, Seabrook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seabrook Context triple: [Seabrook station, city, Seabrook]
-
A.
Seabrook
Seabrook is a residential area or neighborhood located within the town of Mashpee on Cape Cod in Massachusetts.
-
B.
Seabrook station
Seabrook station is a commuter rail stop in Seabrook, Maryland, served by MARC trains on the Penn Line between Washington, D.C., and Baltimore.
-
C.
Seabrook, New Hampshire
Seabrook, New Hampshire is a coastal town in southeastern New Hampshire known for its beaches and the Seabrook Station nuclear power plant.
-
D.
Seabrook, Maryland
chosen
Seabrook, Maryland is a suburban community in Prince George's County known for its residential neighborhoods and proximity to Washington, D.C.
-
E.
Hay Point
Hay Point is a major coal export port and coastal locality in Queensland, Australia, known as one of the world’s largest coal-loading terminals.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02211c8f4819090d19656c6eac2d4 |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a0ed3748190875aacdf5e9ee211 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:40 p.m.