Triple
T14145255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masséna |
E350530
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Massena |
E215902
|
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: Massena | Statement: [Masséna, hasVariantSpelling, Massena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massena Context triple: [Masséna, hasVariantSpelling, Massena]
-
A.
Massena, New York
chosen
Massena, New York is a small town in northern New York State near the Canadian border, known for its proximity to the St. Lawrence River and regional cross-border commerce.
-
B.
Orono
Orono is a suburban city in Minnesota known for its affluent residential communities and scenic location along the north shore of Lake Minnetonka.
-
C.
Orono
Orono is a small rural village in Ontario, Canada, known for its historic downtown, agricultural surroundings, and community events.
-
D.
Lewiston
Lewiston is a small unincorporated community and former mining town in Trinity County, Northern California, known for its proximity to the Trinity River and Lewiston Lake.
-
E.
Útica
Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61214de081909a5186ff11336f97 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1b8508819096d4f5cf1456edca |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:53 a.m.