Triple
T4535026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport County |
E107386
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Little Compton |
E305357
|
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: Little Compton | Statement: [Newport County, contains, Little Compton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Compton Context triple: [Newport County, contains, Little Compton]
-
A.
Little Compton
Little Compton is a small rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and countryside setting.
-
B.
Little Compton, Rhode Island
chosen
Little Compton, Rhode Island is a small coastal town in Newport County known for its historic New England character, rural landscapes, and scenic shoreline along the Atlantic Ocean.
-
C.
Raynham
Raynham is a small suburban town in southeastern Massachusetts known for its residential character and regional shopping and business areas.
-
D.
Scituate
Scituate is a coastal town in Plymouth County, Massachusetts, known for its historic harbor, beaches, and maritime character on the state's South Shore.
-
E.
Attleboro
Attleboro is a city in Bristol County, Massachusetts, historically known for its jewelry manufacturing industry.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a2301c8190aa59280a16750156 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacf016d0819080665256c84d37a3 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.