Triple
T2072245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walden Pond (Lynn) |
E44839
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | City of Lynn |
E23118
|
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: City of Lynn | Statement: [Walden Pond (Lynn), municipality, City of Lynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Lynn Context triple: [Walden Pond (Lynn), municipality, City of Lynn]
-
A.
City of Meriden
The City of Meriden is a municipal government in Connecticut responsible for providing local services, governance, and public amenities to its residents.
-
B.
Lincoln City
Lincoln City is a coastal resort town in Oregon known for its long sandy beaches, kite festivals, and oceanfront tourism.
-
C.
Lynn, Massachusetts
chosen
Lynn, Massachusetts is a historic coastal city just north of Boston known for its industrial past, diverse population, and oceanfront parks.
-
D.
Boston Mills
Boston Mills is a ski area in Ohio that operates as part of the Vail Resorts portfolio, offering winter sports and recreational activities.
-
E.
City of Elizabeth
The City of Elizabeth is a major urban center in Union County, New Jersey, known for its industrial waterfront, transportation hubs, and proximity to Newark and New York City.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0eaa5081908f6d6ff80f79b1c9 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae272ee27c8190a4bb4690961dccf6 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:41 p.m.