Triple
T18327037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vamma power station |
E439037
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Vamma dam |
—
|
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: Vamma dam | Statement: [Vamma power station, hasDam, Vamma dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vamma dam Context triple: [Vamma power station, hasDam, Vamma dam]
-
A.
Vamma dam
chosen
Vamma dam is a hydroelectric dam in Norway that impounds the Glomma River to supply water for the Vamma power station.
-
B.
Maamme
Maamme is the national anthem of Finland, known for its patriotic lyrics and prominent role in Finnish national ceremonies and sporting events.
-
C.
Menmaatre
Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
-
D.
Muddonna
Muddonna is the costumed female mascot of the Toledo Mud Hens minor league baseball team, known for entertaining fans at games and team events.
-
E.
Missamma
Missamma is a classic 1955 Telugu romantic comedy film, celebrated for its witty screenplay, memorable music, and iconic performances by Savithri and N. T. Rama Rao.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aab3e7c81909b1c0a688707dfd6 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.