Triple
T1560221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Shore |
E33301
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Marshfield |
E155749
|
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: Marshfield | Statement: [South Shore, hasTown, Marshfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshfield Context triple: [South Shore, hasTown, Marshfield]
-
A.
Marshfield
chosen
Marshfield is a coastal town in Plymouth County, Massachusetts, known for its beaches along Cape Cod Bay and its New England seaside character.
-
B.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
C.
Bayfield, Wisconsin
Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
-
D.
Hartland
Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
-
E.
Standerton
Standerton is a significant agricultural and commercial town situated on the banks of the Vaal River in South Africa’s Mpumalanga province.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90885d6208190b4b7d6ad336d4d16 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3712e2ac81908c66f18fa89d46f2 |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.