Triple
T21112112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maamme |
E520198
|
entity |
| Predicate | hasTitleInFinnish |
P23453
|
FINISHED |
| Object | Maamme |
—
|
NE NERFINISHED |
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: Maamme | Statement: [Maamme, hasTitleInFinnish, Maamme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maamme Context triple: [Maamme, hasTitleInFinnish, Maamme]
-
A.
Maamme
chosen
Maamme is the national anthem of Finland, known for its patriotic lyrics and prominent role in Finnish national ceremonies and sporting events.
-
B.
La MaMa
La MaMa is a renowned Off-Off-Broadway experimental theater in New York City known for fostering avant-garde performance and emerging artists.
-
C.
Les Muma
Les Muma is an American businessman and philanthropist best known for his major contributions to the University of South Florida, where the business school bears his name.
-
D.
Mamatid
Mamatid is a barangay in Cabuyao, Laguna, Philippines, known for hosting the southern terminus of the PNR Metro Commuter Line.
-
E.
La Mamma
La Mamma is a popular French stage comedy by playwright André Roussin, known for its humorous portrayal of an overbearing Italian mother and family dynamics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72102d99c8190a1ea5a6981da6da0 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.