Triple
T14701178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripley Park |
E345300
|
entity |
| Predicate | locatedInSettlement |
P21214
|
FINISHED |
| Object | Marceline |
E1114811
|
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: Marceline | Statement: [Ripley Park, locatedInSettlement, Marceline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marceline Context triple: [Ripley Park, locatedInSettlement, Marceline]
-
A.
Marceline
chosen
Marceline is a small town in north-central Missouri best known as Walt Disney’s boyhood hometown and the inspiration for elements of Main Street, U.S.A.
-
B.
Marceline Day
Marceline Day was an American silent film actress best known for her leading roles in 1920s comedies and dramas, including opposite Buster Keaton.
-
C.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
D.
Hamelle
Hamelle is a French music publishing house known for issuing important late-19th-century works, including major compositions by César Franck.
-
E.
Goulet
Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cdfb09481908021a3fc92962a00 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:28 a.m.