Triple
T7443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Cod |
E148
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
|
E30921
|
NE FINISHED |
How this triple was built (4 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: Yarmouth | Statement: [Cape Cod, hasMajorTown, Yarmouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yarmouth Context triple: [Cape Cod, hasMajorTown, Yarmouth]
-
A.
Falmouth
Falmouth is a prominent coastal town on Cape Cod in Massachusetts known for its beaches, ferry access to Martha’s Vineyard, and historic New England charm.
-
B.
Lunenburg
Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
-
C.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
D.
Provincetown
Provincetown is a historic coastal resort town at the tip of Cape Cod in Massachusetts, known for its vibrant arts scene, LGBTQ+ community, and scenic beaches.
-
E.
Chatham
Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yarmouth Triple: [Cape Cod, hasMajorTown, Yarmouth]
Generated description
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yarmouth Target entity description: Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
-
A.
Falmouth
Falmouth is a prominent coastal town on Cape Cod in Massachusetts known for its beaches, ferry access to Martha’s Vineyard, and historic New England charm.
-
B.
Lunenburg
Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
-
C.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
D.
Provincetown
Provincetown is a historic coastal resort town at the tip of Cape Cod in Massachusetts, known for its vibrant arts scene, LGBTQ+ community, and scenic beaches.
-
E.
Chatham
Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
- F. None of above. chosen
Provenance (5 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a24659cfe0819088c2e8a61c2274f3 |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a369542b3c81908663e214ed613441 |
completed | Feb. 28, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69a369c6ffb081908af24cd44ba4f853 |
completed | Feb. 28, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36a39aed08190bccff65c68899639 |
completed | Feb. 28, 2026, 10:20 p.m. |
Created at: Feb. 28, 2026, 12:54 a.m.