Triple
T12704760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MA 3 |
E303551
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | South Shore region |
E33301
|
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: South Shore region | Statement: [MA 3, locatedIn, South Shore region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Shore region Context triple: [MA 3, locatedIn, South Shore region]
-
A.
South Shore
chosen
South Shore is a coastal suburban region south of Boston, Massachusetts, known for its residential communities, beaches, and commuter access to the city.
-
B.
South Shore
South Shore is a coastal region known for its surf-friendly beaches and breaks, popular among surfers and ocean enthusiasts.
-
C.
South Shore
South Shore is the suburban region located on the southern bank of the Saint Lawrence River opposite the Island of Montreal, known for its residential communities and commuter links to the city.
-
D.
South Shore
South Shore is a residential and lakefront community area on the South Side of Chicago known for its diverse population and views of Lake Michigan.
-
E.
North Shore
North Shore is a famed coastal region on the Hawaiian island of Oahu known for its world-class surfing beaches and laid-back atmosphere.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f1adec8190a53c80e9556b3fe0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7e0a44819093c90f593ad616b9 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:23 p.m.